Author: SatyaDev Addeppally

SatyaDev Addeppally is the Chief Technology Officer at Akku, where he drives technology strategy and product innovation for the company’s enterprise IAM platform. With a hands-on approach and deep technical expertise, he inspires his teams to build solutions that balance security, scalability, and usability. Under his leadership, Akku continues to evolve as a cutting-edge platform capable of competing with global leaders in the IAM space. Before joining Akku, SatyaDev held leadership roles at BPA Technologies, Raqmiyat, Nihilent, and FCS Software Solutions, managing enterprise-scale projects across BFSI, healthcare, ERP, and hospitality domains. His work in application modernization, digital transformation, and enterprise architecture has enabled organizations worldwide to strengthen IT infrastructure and accelerate growth.

Provisioned Access and Accessed Access Are Two Different Datasets.

A provisioning record captures a point-in-time entitlement decision: this user was granted access to this application on this date. It records that the door was opened. It contains no information about whether anyone has walked through it since.

An access usage record captures an event: this user authenticated and launched this application at this timestamp from this device. It records that the access was exercised. It is a different dataset from the provisioning record and in most IAM architectures, it does not exist. 

The absence of access usage data has three distinct consequences that are usually treated as separate problems but share the same root cause. First, dormant accounts with valid access entitlements accumulate as an unmonitored attack surface. Second, access reviews that run without usage data certify entitlements rather than evaluate continued need, which is not what ISO 27001 A.5.18, SOC 2 CC6.3, or DPDPA Rules 2025 require from a periodic access review. Third, SaaS licences assigned to users who have not launched the application in months represent recoverable budget that the organisation has no mechanism to identify without usage data.

This blog covers the technical distinction between the two datasets, what each consequence looks like operationally, and what application launch monitoring at the SSO layer produces as a usage record without requiring per-application integrations.

Why Provisioning Records Are Not Usage Records

Provisioning is architecturally event-driven: it triggers on access requests and access removals. Between those two events, the provisioning platform has no visibility into what happens with the entitlement. Whether the user launches the application daily or not at all, the provisioning record is identical. The record reflects the entitlement state, not the usage state. 

Application usage data, where it exists, lives in the application itself. Applications that generate access logs produce records of who authenticated and when. Those records live in the application’s own logging infrastructure. Pulling them into a coherent cross-application usage view requires native API integrations with each application, a CASB layer that monitors application traffic, or manual extraction on a schedule. None of these is operationally straightforward at scale across 40 to 60 SaaS applications. 

The result is that most organisations have precise provisioning records and no structured usage data. The two datasets that together constitute a complete picture of access governance exist independently, and most organisations only have one of them.

What the Absence of Usage Data Costs

Dormant Accounts as an Unmonitored Attack Surface

An account that has not been used in 90 days is not actively monitored by the user who owns it. Password change notifications go unread. Anomalous MFA prompts go unreported. If the account’s credentials are compromised, the compromise may not surface for weeks because the legitimate user has no reason to notice anything unusual about an account they are not using.

NIST SP 800-53 Control AC-2 recommends disabling inactive accounts after a defined period. ISO 27001:2022 Annex A Control A.5.16 requires that identity management include a mechanism for reviewing and disabling inactive identities. Most organisations have a policy that specifies an inactivity threshold. Very few have a technical mechanism that enforces it, because they do not have the usage data needed to identify which accounts are inactive.

Access Reviews Without a Meaningful Baseline

Access reviews under ISO 27001 A.5.18 and SOC 2 CC6.3 are supposed to evaluate whether access is still appropriate. Without usage data, the reviewer can confirm that the entitlement exists and that the user’s current role appears to justify it. They cannot evaluate whether the access has been exercised in the review period, whether the usage pattern is consistent with the stated business need, or whether the access should continue to exist given that nobody has used it in six months.

Under DPDPA Rules 2025, access to personal data should be granted on a need-to-know basis and reviewed periodically. A review that certifies access without any data on whether the access has been exercised is not a meaningful review of whether the need-to-know condition is still met. For financial services organisations and healthcare organisations where access reviews are part of RBI, SEBI, and HIPAA compliance obligations, a review based on usage data is qualitatively and evidentially different from a review based on entitlement records alone.

Recoverable SaaS Licence Spend

SaaS licences are priced per seat. A seat occupied by a user who has not launched the application in six months is a seat being paid for without return. Industry data from SaaS management platforms consistently indicates that between 20 and 30 percent of provisioned SaaS seats are unused in a typical month. For a mid-market organisation with 500 users and 50 SaaS applications, that percentage represents a significant monthly spend on licences that could be reclaimed and reallocated or cancelled. Identifying and reclaiming those seats requires knowing which users have not launched which applications in a defined period. That requires usage data. 

What Application Launch Monitoring Produces

Application launch monitoring captures the event that occurs when a user authenticates through the IAM platform and is directed to a specific application. It operates at the SSO layer, not at the application layer. Any application that uses SSO-based authentication through Akku produces a launch event at the identity platform regardless of whether the application has its own session logging capability. No per-application integration is required.

Each launch event captures the user identifier, the application accessed, the timestamp, the device, and the geo-location of the authentication. This data is stored per user per application, producing a usage record that sits alongside the provisioning record in the identity platform.

Last-Used Date Per User Per Application

The immediately actionable output is a last-used date for each user-application combination. An access review showing a user has not launched an application in 120 days has a different conversation than one showing daily usage. The reviewer makes a decision based on actual usage behaviour rather than on whether the user’s role still appears to justify the access in the abstract.

For automated lifecycle management, last-used date enables a technical policy: accounts that have not accessed an application within a defined period are flagged for review or automatically suspended based on the risk profile of the application. This is the technical enforcement of what ISO 27001 A.5.16 and most inactivity policies describe but rarely implement.

Anomaly Detection From Usage Baseline 

Application launch data over time produces a usage baseline per user per application. A user who normally launches the CRM five times daily but whose launch events stop appearing for two weeks has experienced something: a missed offboarding, extended leave, or an account compromise that locked the legitimate user out. A user who normally accesses a specific application once a week but suddenly launches it dozens of times in a single session is also anomalous. Both signals are only available if launch data is being collected.

Licence Reclamation With Documented Evidence

Usage data enables licence reclamation with evidence rather than estimation. The IT team produces a report showing per application: provisioned users, users who launched at least once in the last 30 days, and users who have not launched in 90 days. That report is the basis for a licence reclamation conversation with the application vendor. Removing dormant seats from a SaaS licence is a straightforward conversation when the usage data supports it.

How This Connects to Automated User Lifecycle Management

Application launch data is most operationally powerful when connected to the automated user lifecycle management layer in Akku rather than existing as a standalone reporting view. When the last-used date for a user-application combination crosses a defined threshold, the lifecycle management layer triggers a review workflow automatically: the user’s manager is notified, confirmation of continued need is requested, and access is removed if no confirmation arrives within the defined period.

This closes the loop between usage visibility and access governance without requiring a manual process for each dormant account. The review is triggered by the data. The outcome is recorded in the provisioning system. The audit trail shows that dormant access was identified, reviewed, and either confirmed or removed, which is the evidence that a meaningful periodic access review under ISO 27001 A.5.18 and DPDPA is supposed to produce.

For ITeS and BPO organisations where employees frequently change project assignments and client system access needs corresponding adjustment, application launch data makes the access actually being used visible in a way that a provisioning record cannot. Access to a client system that has not been launched since a project ended three months ago is a deprovisioning candidate that the standard offboarding process may have missed. 

Before You Move On

Pick three applications in your environment that hold sensitive data. For each one, pull the list of provisioned users from your IAM platform. Then answer: of those users, how many have not accessed the application in the last 90 days?

If the IAM platform cannot answer that question from its own data, the usage visibility gap is confirmed. The provisioning record exists. The usage record does not. The security implication is a list of dormant accounts passing access reviews without any evidence of whether the access is still exercised. The compliance implication is that those reviews, under DPDPA and ISO 27001, are based on entitlement data rather than access behaviour. The cost implication is a straightforward calculation: dormant licensed seats multiplied by the per-seat monthly cost. 

Explore Akku IAM and Lifecycle Management  |  See Akku IGA and Access Reviews  |  Talk to the Akku Team

Questions IT and Compliance Teams Ask About Access Usage Visibility

Q: What is the technical difference between a provisioning record and an application launch record? 

A: A provisioning record captures the entitlement lifecycle: when access was granted, by whom, under what approval, and when it was removed. It records a decision about access. An application launch record captures a usage event: a specific user authenticated and was directed to a specific application at a specific timestamp. The two records describe different things. A provisioning record answers whether a user has access. An application launch record answers whether a user has used their access. Both are required for complete access governance. Most IAM platforms maintain only the provisioning record.

Q: How does application launch monitoring differ from application-level session logging? 

A: Application-level session logging is performed by the application itself and requires either native logging capability in the application or a CASB layer intercepting traffic. Application launch monitoring is performed at the SSO layer: when the user’s authenticated session is redirected from the identity platform to the application, the launch event is captured. It requires no integration with each individual application. Any application using SSO-based authentication through Akku produces a launch event at the identity platform regardless of the application’s own logging capability.

Q: How does DPDPA treat dormant access to personal data systems?

A: DPDPA requires that access to personal data is granted on a need-to-know basis and reviewed periodically. An account that has not accessed a personal data system in several months raises a question about whether the need-to-know condition is still met. A periodic access review certifying access without usage data cannot meaningfully evaluate this. The DPDPA’s access accountability requirements imply that the organisation can demonstrate not just that access exists and was approved, but that access is actively justified by current need. Application launch data provides the evidence needed to distinguish active access from dormant access. 

Q: What is a practical inactivity threshold for triggering an access review?

A: The appropriate threshold depends on the application’s risk profile. For high-sensitivity applications containing personal data, financial records, or privileged system access, 30 days is appropriate. For standard productivity applications, 60 to 90 days is common. The threshold should be defined in the access control policy rather than set arbitrarily, so the automated review trigger is aligned with the policy’s stated inactivity standard. ISO 27001 A.5.16 does not specify a number but requires that inactive identities are identified and addressed within a defined timeframe.

Q: How does usage data improve the quality of access reviews under SOC 2 CC6.3?

A: SOC 2 CC6.3 requires periodic review of whether existing access is still appropriate. With only entitlement data, the reviewer confirms the access exists, and the role appears to justify it. With usage data, the reviewer can evaluate whether the access has been exercised in the review period and whether the usage pattern is consistent with the stated business need. A reviewer who sees that a user has not launched an application in 180 days makes a substantively different decision than one who sees only that the entitlement exists. The audit evidence produced by a usage-informed review is qualitatively stronger under both SOC 2 and ISO 27001.

Q: How does Akku connect application launch data to the provisioning and deprovisioning lifecycle?

A: In Akku, application launch events are captured at the SSO layer when users access applications through Akku-managed SSO. This data feeds into the access governance layer alongside provisioning records, producing a combined view of who has access and who is using it. Inactivity thresholds can be configured as policy rules that trigger automated review workflows when a user-application combination has not produced a launch event within the defined period. The full chain from provisioning through usage monitoring through periodic review to deprovisioning is traceable in a single audit trail.

Authentication Visibility Stops Where Your Monitoring Stack Ends.

If your SSO platform had a service disruption at 2am tonight, how would your team find out about it?

For most IT operations and security teams, the honest answer is: when the support tickets start arriving in the morning. Someone arrives at work, tries to log in, fails, and raises a ticket. By the time the third ticket arrives, the pattern is clear. By the time the root cause is identified, the disruption has been running for several hours.

This is not a process failure. It is an instrumentation gap. The authentication health signal that would have indicated the disruption at 2am was present in the IAM platform’s event stream the entire time. The success rate dropped. The failure rate climbed. The volume pattern shifted. All of it was in the data. None of it was connected to a monitoring layer that could evaluate it against a threshold and generate an alert before the first user noticed anything. 

The same gap applies to security incidents. A credential stuffing attack that ramps up at 3am and stops before dawn leaves its pattern in the authentication event stream. A SAML assertion configuration that broke during a maintenance window produces a consistent failure rate from the moment the change took effect. A compromised account used at unusual hours generates authentication volume that does not match the user’s baseline pattern. All detectable. All invisible if the authentication layer has no monitoring coverage.

This blog covers the architectural difference between a log interface and an authentication telemetry API, what the Login Metrics API with 24-hour trend data exposes, the specific detection scenarios it enables, and how it connects to the event-level signal data from the MFA Failures and Lockout API covered in the previous blog.

The Architectural Difference Between a Log Interface and a Telemetry API

Every IAM platform produces authentication event data. The question is what form it takes and what it is designed for.

A log interface is designed for a human analyst investigating a known problem. They navigate to the log viewer, apply filters, select a time range, and read the results. It answers questions when asked. It does not surface anomalies unprompted. If an analyst does not know a problem exists, the log interface provides no signal. The detection latency of a log interface is the time between an anomaly occurring and the next time a human happens to look at the right screen.

A telemetry API is designed for a monitoring system that evaluates data continuously against defined thresholds. It delivers pre-aggregated metrics in a structured format that a dashboard or alerting rule can consume without a human in the loop. The detection latency of a telemetry API connected to a monitoring layer is the time between an anomaly occurring and the alerting threshold being breached, which is minutes rather than hours.

Most IAM platforms provide the first. Akku’s Login Metrics API provides the second.

What the Login Metrics API Provides

Total Login Count Over Configurable Time Windows

Login volume is the baseline for anomaly detection. Normal Monday morning volume for a given environment might be 2,400 authentication events in the first hour. A Monday morning producing 400 events in that window is an anomaly: a service disruption, a network issue, or a configuration problem blocking users from reaching the authentication layer. Volume anomaly detection requires a baseline. The configurable time windows in the API allow the monitoring layer to compare current volume against historical baselines for the same time window and day of week automatically.

Login Success Rate as a Percentage

Success rate is the most sensitive indicator of authentication health. In a healthy environment with MFA enforcement, success rate sits within a consistent range, typically between 93 and 97 percent accounting for routine MFA failures. A drop to 78 percent is a signal regardless of the cause: broken SAML assertion, misconfigured service account credentials, active attack, or integration failure. The monitoring layer does not need to identify the cause to fire the alert. It needs to know the rate has moved outside the normal range.

Login Failure Rate by Authentication Stage 

Failure rate broken down by authentication stage provides diagnostic context. A spike in primary credential failures indicates something different from a spike in MFA failures. Primary credential failures at elevated rates suggest a password sync problem, stale credentials in an integration, or a credential stuffing attempt using out-of-date credentials that fail before reaching the MFA step. MFA failure spikes indicate the attack patterns described in Blog 2 of this series. Stage-level breakdown narrows the investigation before anyone opens a log viewer. 

24-Hour Sparkline Trend Data

The 24-hour sparkline provides temporal context. A success rate of 89 percent is alarming if yesterday’s baseline was 96 percent. It is expected if the last 24 hours shows a gradual drift from 92 percent correlating with a known migration. The sparkline is an ordered array of hourly data points covering the previous 24 hours, structured for direct embedding in Grafana, Datadog, and custom JSON-sourced dashboards. The time series format is compatible with Grafana’s native time series panel without transformation. A visual trend line rather than a single number makes the distinction between a sudden anomaly and gradual drift immediately obvious.

Detection Scenarios This Data Enables

SAML and OIDC Integration Failure

A SAML assertion configuration is modified during a maintenance window. The change is syntactically valid but semantically incorrect: the audience restriction is set to the wrong service provider identifier. Every authentication attempt against that integration fails from the moment the change takes effect. Without authentication telemetry, the failure accumulates invisibly until users arrive in the morning and report problems. With a success rate threshold alert connected to the Login Metrics API, the monitoring layer fires within minutes of the configuration change. The investigation identifies the maintenance window as the cause before the first user has noticed anything.

Gradual Certificate Expiry

A certificate used in an OIDC integration approach’s expiry. The relying party begins intermittently rejecting authentication attempts as the validity window narrows. The success rate drifts downward over several days from 96 percent to 88 percent. A sharp drop triggers a threshold alert immediately. A gradual drift requires trend analysis. A monitoring rule comparing the current success rate against the 7-day rolling average fires when the deviation exceeds a defined percentage, detecting the drift long before the certificate expires entirely and authentication fails completely.

Off-Hours Authentication Volume Anomaly

A compromised account is used by an attacker outside the legitimate user’s normal working hours. Authentication volume for that identifier between midnight and 4 am significantly exceeds the user’s normal overnight baseline. Per-identifier volume monitoring built on the Login Metrics API detects this. A rule flagging identifiers with overnight volume exceeding their rolling baseline by a defined percentage surfaces the anomaly before the account owner’s working day begins.

How This Connects to the MFA Failures and Lockout API

The Login Metrics API provides aggregate health data for operational monitoring and threshold alerting. The MFA Failures and Lockout API covered in Blog 2 provides individual event data for SIEM detection rules and investigation. The two APIs address different points in the detection and response chain. When the metrics layer fires a success rate alert, the event layer provides the data to investigate the cause: which specific identifiers are failing, which methods are failing, and whether the pattern matches an attack or a configuration problem. Both are needed for complete authentication visibility.

For ITeS and BPO organisations where authentication availability directly affects client SLA obligations, the combination of metrics-layer alerting and event-layer investigation changes means time to detect and mean time to resolve for authentication incidents. For financial services organisations where RBI’s Cybersecurity Framework requires near-real-time monitoring of authentication anomalies, the Login Metrics API with sub-minute polling latency satisfies the monitoring requirement at the data layer.

What to Check About Your Current Authentication Visibility

Ask whoever is on call tonight this question: if the login success rate across your SSO dropped 20 per cent right now, how long would it take them to find out, assuming no users report anything?

If the answer is measured in hours, authentication health is not part of your current monitoring architecture. The IAM platform is producing the data. Nothing is consuming it for alerting purposes.

The follow-up question: What is the current source of truth for authentication health? If the answer is the IAM platform’s internal admin console rather than a connected monitoring tool with configurable alerting, the detection latency for authentication anomalies is the time between the anomaly occurring and the next time someone manually opens that console. That gap is where incidents live between 2 am and 9 am.

See Akku IAM Authentication Architecture  |  Explore Akku MFA Capabilities  |  Talk to the Akku Team

Questions IT Operations and Security Teams Ask About Authentication Telemetry

Q: What is the data format and query interface for the Login Metrics API? 

A: The Login Metrics API returns structured JSON. Each response includes the time window covered, total login count, success count, failure count, success rate as a percentage, failure rate as a percentage, and the 24-hour sparkline as an ordered array of objects where each object contains a timestamp and a value. The API supports configurable time windows for aggregate metrics. The sparkline provides hourly data points over the previous 24 hours by default, with the option to request higher granularity at shorter intervals. The format is designed for embedding in dashboard tools that support JSON data sources, including Grafana and Datadog.

Q: How does this API differ from the logs already available in the Akku admin console?

A: The admin console provides access to the full audit log through a user interface designed for manual review and investigation. The Login Metrics API provides pre-aggregated metrics in a format designed for programmatic consumption by monitoring tools and alerting systems. The distinction is between a log interface requiring a human to navigate and interpret the data, and a metrics API delivering structured numerical data ready for automated threshold evaluation. The underlying authentication event data is the same source. The format and delivery mechanism are optimised for different consumers.

Q: Can this data be integrated with Grafana, Datadog, or similar observability platforms?

A: Yes. The structured JSON output is compatible with any observability platform supporting HTTP-based data sources, including Grafana, Datadog, and New Relic. For Grafana, the API can be configured as an Infinity data source. The sparkline data array is directly compatible with Grafana’s time series panel format without a data transformation step. For teams centralising infrastructure and application metrics in an observability platform, the Login Metrics API closes the gap where authentication health was previously absent from the unified operational dashboard.

Q: How does the 24-hour trend data help distinguish attacks from configuration problems?

A: Attacks and configuration problems produce different trend shapes. A sudden step-change drop at a specific timestamp is characteristic of a configuration event. A gradual drift downward over hours or days is more consistent with an expiring certificate or degrading integration. A spike in failure rate affecting only certain MFA methods while others remain normal points to an MFA delivery issue rather than a broad authentication failure. The 24-hour sparkline provides the temporal context needed to distinguish these patterns, which determines whether the appropriate response is a configuration rollback, a certificate renewal, or a security incident response. 

Q: How does authentication health monitoring connect to privileged session monitoring in Akku PAM? 

A: Authentication health monitoring through the Login Metrics API covers the authentication layer: who is attempting to authenticate, at what volume, and with what success rate. Privileged session monitoring through AkkuReka covers what authenticated privileged users do inside their sessions: commands executed, files accessed, and configuration changes made. The two monitoring layers address different risk surfaces. Authentication monitoring detects anomalies at the perimeter of the identity layer. Session monitoring detects anomalies inside the sessions of users who have already authenticated. For a comprehensive identity security monitoring posture, both layers are needed. 

Q: How does login volume monitoring support capacity planning beyond security monitoring? 

A: Authentication volume data over configurable time windows provides the baseline for IAM infrastructure capacity planning. Peak authentication times, day-of-week patterns, and growth trends are all derivable from the Login Metrics API output. For organisations planning IAM platform capacity for workforce growth, mergers, or seasonal peaks, the historical volume data provides the input for capacity modelling. The security monitoring use case and the capacity planning use case share the same API output, making the integration investment serve both purposes.

Informal Access Provisioning Produces No Defensible Audit Evidence.

Defensible audit evidence for an access grant has a specific technical definition. It is not a confirmation that the access exists. It is not a record that the access was provisioned. It is a structured record of a formal authorization decision: the identity of the person who approved the access, their authority to approve it, the scope of access approved, the business justification, and the timestamp of the decision, all stored in a system that is queryable, tamper-evident, and independent of any individual’s inbox.

An email from a department head saying please give Rahul access to the finance system satisfies none of those requirements. It is a request. The IT manager acting on it is a provisioning action. Neither constitutes a formal authorization decision in the sense that ISO 27001:2022 Annex A Control A.5.18, SOC 2 CC6.1, or DPDPA Rules 2025 mean when they use that term.

The gap between what most organizations produce as access approval records and what those frameworks require is one of the most consistent findings in IT compliance audits. It persists not because IT teams are careless but because the tooling most organizations rely on was built to provision access efficiently. Recording the governance decision behind the provisioning action was never part of the design.

This blog covers exactly what defensible audit evidence for access governance requires technically, where informal approval processes fail against each framework standard, and what a structured approval workflow produces that an email thread cannot.

What Defensible Audit Evidence for Access Governance Actually Requires

ISO 27001:2022 Annex A Control A.5.18 requires that access rights are provisioned based on a formal authorization process, and that the process is documented. The documentation requirement is specific: it must be possible to demonstrate, for any access grant, that an authorization process was followed. That demonstration requires a record with identifiable fields, not a message that may or may not contain the relevant information depending on how it was written.

The specific fields that constitute a defensible access authorisation record are: the identity of the requester and their role, the identity of the approver and their authority to approve access of the type requested, the system and permission scope being approved, the business justification for the access, the timestamp of the approval decision, the duration of the access where time-limited, and a reference to the access control policy or role definition the approval was evaluated against.

SOC 2 CC6.1 requires that logical access controls restrict access to authorized individuals and that the authorization can be demonstrated. The evidence standard for CC6.1 is a queryable record showing that each access grant was authorized by a person with the defined authority to grant it. An email buried in a former employee’s archived mailbox does not constitute a queryable record in any operationally meaningful sense.

DPDPA Rules 2025 require that access to personal data is granted on a need-to-know basis. At the evidence level, this means the organization must demonstrate on demand that each access grant to a personal data system was based on a documented business need, approved by an appropriate authority, and reviewed since it was granted. A supervisory review under DPDPA does not arrive on a scheduled basis. It can arrive following an incident. The evidence of access governance needs to be retrievable immediately, not reconstructed from historical communications.

Where Informal Approval Processes Fail the Evidence Standard

The Record Is Tied to an Individual Inbox

An email approval lives in the approver’s inbox. When that person leaves the organization, the inbox is archived, restricted, or deleted depending on the organization’s data retention policy. Reconstructing an access decision made 18 months ago by a manager who left the organization 12 months ago requires locating the archived mailbox, obtaining access to it, identifying the correct thread, and confirming that the relevant approval is in the thread rather than in a separate conversation. This is an investigation, not a record retrieval.

A structured approval record stored in the identity governance platform is queryable by the compliance team regardless of whether the original approver is still with the organization. The record exists independently of any individual’s employment status.

The Record Has No Structured Schema

An email approval has no schema. Whether it contains the information an auditor needs depends entirely on how the email was written. A subject line reading access for new joiner and a body reading please sort this out contains no approver identity in a queryable field, no scope definition, no business justification, and no reference to an access control policy. It contains a request. That is not the same as an authorization record.

A structured approval record has defined fields. Every record for every access grant contains the same information in the same format, regardless of who wrote the request or how formally they phrased it. The schema enforces the evidence standard at the point of approval, not at the point of the audit.

The Approval Scope Is Undefined

Email-based approvals routinely approve access at an application level without defining the role, permission set, or data scope within the application. Approving access to Salesforce without specifying whether that means read-only access to one regional pipeline or administrative access to the full CRM is not a scoped authorization. It is a vague grant that cannot be meaningfully reviewed for continued appropriateness because the original scope was never defined.

Under SOC 2 CC6.3, access reviews are supposed to evaluate whether existing access is still appropriate. If the original approval did not define the scope, the reviewer has no baseline against which to evaluate appropriateness. They are certifying that the access exists and that the user’s role appears to justify something. They cannot evaluate whether the specific access granted was appropriate then or remains appropriate now.

What a Structured Approval Workflow Produces That Email Cannot

A Schema-Enforced Authorization Record 

A structured workflow captures the approval decision in a defined schema at the point the decision is made. The requester, approver, access scope, business justification, and timestamp are all mandatory fields. The record cannot be created without them. This means the evidence standard is enforced by the system rather than by the discipline of the person writing the email. 

A Queryable Audit Trail Independent of Personnel

The approval record lives in the identity governance platform, not in an inbox. It is queryable by system identifier, user identifier, approver identity, application, date range, and approval status. A compliance team preparing for an ISO 27001 audit can retrieve the complete approval history for any application in under a minute. The same query works whether the original approver is still with the organization or left three years ago.

An Access Review Baseline With Defined Scope

When an access review runs under ISO 27001 A.5.18 or SOC 2 CC6.3, the reviewer sees the original approval record alongside the current access state. They can evaluate whether the business justification still holds, whether the scope of access is still appropriate given the user’s current role, and whether the duration of the access was meant to be time-limited. This is a genuine review of continued appropriateness, not a certification that the access exists.

For financial services organizations under RBI’s Cyber Security Framework and SEBI CSCRF requirements, structured access approval records satisfy the audit trail requirement at the individual access grant level. For ITeS and BPO organizations subject to client compliance audits with short notice, retrievable approval records change the audit response time from days to minutes.

How This Connects to the Broader Identity Governance Architecture

Structured access approval workflows are one component of identity governance and administration that sits in front of the provisioning layer. The approval record triggers the provisioning action. The two records reference the same request identifier, so the full chain from approval to entitlement to periodic review to deprovisioning is traceable in a single audit trail.

For organizations using Akku IAM for provisioning, adding structured approval workflows closes the governance gap without replacing the provisioning architecture. The approval step sits in front of provisioning and produces the audit record that the provisioning action alone cannot.

Before You Move On

For any five access grants made in the last 12 months to a sensitive system, try to retrieve the authorization record from your current systems. Check whether the record contains the approver’s identity, the scope of access approved, the business justification, and the timestamp of the decision, all in a queryable format.

If any of those five records requires searching an inbox, asking the original approver, or acknowledging that the record may not exist in a structured form, the gap between your current process and what ISO 27001 A.5.18 and DPDPA require is confirmed.

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Questions Compliance and IT Teams Ask About Access Approval Workflows

Q: What is the difference between an access request and an access approval under ISO 27001?

A: An access request is an expression of intent: someone wants access to a system. An access approval is a formal authorisation decision: a person with defined authority has reviewed the request against the access control policy and made a documented decision to approve it. ISO 27001:2022 Annex A Control A.5.18 requires that access rights are provisioned based on a formal authorisation process, and that the process is documented. An email request that an IT manager acted on is a fulfilled request. It is not a documented authorisation process unless the approval decision itself was recorded in a structured schema with the approver identity, scope, business justification, and timestamp.

Q: What does DPDPA Rules 2025 require specifically at the access approval evidence level?

A: DPDPA requires data fiduciaries to implement technical and organisational measures ensuring access to personal data is granted on a need-to-know basis. At the evidence level, the organisation must demonstrate on demand that each access grant to a personal data system was based on a documented business need approved by an appropriate authority. The DPDPA does not prescribe a specific tool. It sets an outcome: the access decision must be demonstrable. An email in an inbox that may or may not be searchable after the approver has left the organisation does not satisfy this standard in a regulatory review or supervisory investigation context.

Q: What should a structured access approval record contain to satisfy audit requirements across ISO 27001, SOC 2, and DPDPA simultaneously?

A: The record should contain the identity of the requester and their business role, the identity of the approver and their authority to approve access of the type requested, the system and permission scope being approved, the business justification for the access, the timestamp of the approval decision, the duration of the access where time-limited, and a reference to the access control policy or role definition the approval was evaluated against. This structure satisfies the documentation requirement of ISO 27001 A.5.18, the authorization evidence requirement of SOC 2 CC6.1, and the access accountability requirement of DPDPA. For multi-level approvals, each approval step should have its own record.

Q: How does a structured approval workflow connect to the access review process under SOC 2 CC6.3?

A: SOC 2 CC6.3 requires periodic review of whether existing access is still appropriate. For that review to be meaningful, the reviewer needs to know what was approved, at what scope, and for what business justification. A structured approval workflow provides this baseline automatically. The reviewer sees the original approval record alongside the current access state and can evaluate whether the justification still holds. Without this baseline, the reviewer can only certify that the access exists, not that it remains appropriate. The quality difference between the two types of review is the difference between a compliance exercise and a genuine governance evaluation.

Q: How do you transition from email-based approvals to a structured workflow without disrupting operations?

A: Three steps. First, define the approval workflow for each category of sensitive system: who has authority to approve access, what information must be captured, and what the response time expectation is. Second, configure the identity governance platform so that provisioning actions for those systems require a completed approval record rather than an informal message. Third, make the new process at least as fast as the informal one for routine requests. A well-configured approval workflow for a standard access request should complete in under an hour. The operational disruption is minimal if the workflow is designed around the actual approval behaviour rather than around a theoretical governance model.

Q: What is the regulatory risk of continuing with informal access approvals under DPDPA and ISO 27001? 

A: Under ISO 27001, informal access approvals are a control gap that affects certification. An auditor finding that access rights are provisioned without a documented authorization process is an A.5.18 nonconformity. Under DPDPA, the risk is potentially more significant because the data protection board has investigatory powers that are not confined to scheduled audits. An organization that cannot demonstrate structured access approval records for personal data systems is in a materially weaker position in any regulatory interaction, regardless of whether a breach has occurred. The absence of evidence is not evidence of absence in a regulatory investigation.

Is Your PAM Solution Built on a Remote Desktop Gateway?

If you are currently evaluating Privileged Access Management solutions, there is a question worth asking the vendors in your shortlist: what is this product actually built on?

Not every PAM solution on the market was built from the ground up as a PAM platform. Some are remote desktop gateways with PAM features bolted on. Some are built on top of open-source tools like Apache Guacamole, a browser-based access gateway that was never designed for privileged access management.

That distinction matters more than most buyers realise. Here is why.

What Apache Guacamole Actually Is

Apache Guacamole is a free, open-source, clientless remote desktop gateway maintained by the Apache Software Foundation. It allows users to access servers via SSH, RDP, VNC, and Telnet through a web browser, with no client software installed.

It is a well-built tool for what it was designed to do: give administrators browser-based access to infrastructure without a VPN. Many IT teams deploy it as a jump server or bastion host. At zero licensing cost, it is an attractive starting point.

But it is a starting point, not a destination for organisations with real security or compliance requirements.

The Problem With Calling It PAM

The term Privileged Access Management describes a specific set of security controls: dynamic credential management, session approval workflows, adaptive multi-factor authentication, compliance-ready audit trails, and least-privilege enforcement. These are the capabilities auditors look for when they assess your PAM posture for SOC 2, ISO 27001, PCI-DSS, RBI, or DPDPA.

Apache Guacamole provides none of these natively.

It records sessions. It logs who connected and when. It can integrate with LDAP for authentication. But credentials are stored statically in its connection configuration, meaning someone in your IT infrastructure knows the actual server password, or it exists in a file that could be accessed. There is no credential vault that generates dynamic, per-session credentials. There is no approval workflow that stands between a user’s request and the target server. There is no adaptive MFA that escalates when a login comes from an unfamiliar device.

This is not a criticism of Guacamole. It was not designed to be a PAM platform. The issue arises when a product built on Guacamole is sold as one.

What a Gateway-Based ‘PAM’ Cannot Do

Credential Security

In a genuine PAM platform, users never see or handle the target credentials. The platform generates a unique, short-lived credential for each session, injects it silently into the proxied connection, and destroys it when the session ends. There is nothing to leak because there is nothing the user ever knows.

In a Guacamole-based solution, credentials are pre-configured and stored statically. The system passes them through, but they exist in a form that can be accessed, extracted, or exposed. Password rotation is manual. A departing administrator who knew a server password still knows it after you delete their account from the gateway.

Session Governance

A PAM platform includes a session approval workflow: a user requests access, an administrator reviews and approves, and only then does the session open. This provides a human checkpoint for every privileged action on critical infrastructure.

Guacamole has no approval workflow. A user with connection access connects immediately. The audit trail tells you what happened, but nothing prevented it from happening.

Database Access

Guacamole does not support database sessions at all. For organisations where database administrators access PostgreSQL, MySQL, or other systems, a Guacamole-based solution provides zero visibility into what SQL queries were executed during a session, a direct gap in any audit that asks for database activity logs.

A purpose-built PAM platform proxies database sessions and captures every query, timestamped and structured, alongside the session recording.

Compliance Evidence

When an auditor asks for evidence of privileged access controls, they are looking for dynamic credential management, session approval records, searchable audit trails, and adaptive MFA. Guacamole can provide a session recording and a connection log. It cannot provide the rest.

For teams pursuing SOC 2, ISO 27001, PCI-DSS, or India’s RBI Cybersecurity Framework and DPDPA requirements, this gap requires additional tooling, tooling that typically costs more than a purpose-built PAM platform would have in the first place.

How to Tell What You Are Actually Buying

When evaluating a PAM solution, ask these questions directly:

  • Does the platform generate dynamic, per-session credentials, or does it store static credentials in connection configuration?
  • Do users ever see, know, or handle the actual target password, or is credential injection completely invisible to them?
  • Is there a session approval workflow where a human must explicitly authorise access before a session opens?
  • Does the platform proxy database sessions (MySQL, PostgreSQL) and capture SQL query logs, or only SSH and RDP?
  • Is MFA adaptive, does it escalate based on device, location, IP, or time, or is it binary on/off?
  • If you remove a user from the identity platform, is their access to all privileged systems revoked immediately, or does the gateway need to be updated separately?

If the answers reveal a gateway with credential pass-through and no approval workflow, you are looking at infrastructure access tooling, not a PAM platform.

What Akku PAM Is Built On

Akku PAM was designed from the ground up as a Privileged Access Management platform, not adapted from a remote desktop gateway. It is built around two purpose-built components.

AkkuArka is the credential vault. It generates a unique credential for each privileged session, server passwords, database users, SSH keys, at the moment access is requested. When the session ends, the credential expires. There are no static passwords in configuration files. There is nothing for a user to know or leak.

AkkuReka is the session proxy. Every privileged connection, SSH, RDP, database, Kubernetes, passes through AkkuReka. Before a session opens, AkkuReka verifies the identity, the device, the location, the IP, the time of day, and the approval status. The session is recorded end to end. Every SSH command, every SQL query, every RDP action is captured, timestamped, and stored in SMART Audit Trails, tamper-proof and fully searchable.

The result is a privileged access architecture where users connect to critical systems without ever knowing the password, every session requires explicit verification, and every action leaves a complete, searchable audit trail.

For organisations with compliance obligations, or for IT teams that simply want to know, with certainty, what is happening on their infrastructure, that is the difference between a remote desktop gateway and a PAM platform.

The Bottom Line

Apache Guacamole is a capable, free, open-source tool. If browser-based server access with basic session recording is all you need, and compliance, credential security, and audit trails are not requirements, it does its job.

But if a PAM solution is being positioned to you as meeting your compliance and security requirements, and it is built on or compared to a remote desktop gateway, the gap between what it promises and what it can actually prove in an audit is worth understanding before you sign.

Ask the six questions above. The answers will tell you what you are actually buying.

See How Akku PAM Works | Talk to the Akku Team

Questions We Hear Most From IT and Security Teams

Q: Is Apache Guacamole a PAM solution?

A: No. Guacamole is a remote desktop gateway. It provides browser-based access to servers but does not include a credential vault, dynamic credential generation, session approval workflows, or adaptive MFA. These define a Privileged Access Management platform.

Q: Can a Guacamole-based solution meet PAM compliance requirements?

A: Partially, and only with significant additional tooling. Guacamole provides session recording and a connection log, which satisfies some audit requirements. But dynamic credential management, session approval workflows, database session logging, and adaptive MFA require either purpose-built additions or a separate platform.

Q: What is the difference between a remote desktop gateway and a PAM platform?

A: A remote desktop gateway provides access to servers via browser or proxy. A PAM platform governs, records, and controls everything about that access: who approved it, what credentials were used, what actions were taken, and whether those credentials still exist after the session ended. The gateway gets you in. The PAM platform is accountable for what happens once you are.

Q: How does Akku PAM handle privileged session access?

A: Every privileged session passes through AkkuReka, which verifies identity, device, location, IP, and approval before opening the connection. AkkuArka generates a unique credential for the session, one the user never sees, and destroys it when the session ends. Every action is recorded and logged in SMART Audit Trails, searchable by user, command, system, or time window.

Q: Does Akku PAM require complex infrastructure like Guacamole?

A: No. Akku PAM deploys a lightweight worker near your target infrastructure. No Tomcat, no guacd, no database to manage. Most organisations are live within hours to a few days without specialist infrastructure expertise.

How to Prepare for India’s New DPDP Rules and Safeguard Your Organization

The phased rollout of India’s Digital Personal Data Protection (DPDP) Rules officially began on November 14, 2025, marking the full operationalization of the DPDP Act, 2023. While organizations have an eighteen-month window for phased compliance, the complexity of managing digital identities means you must act now to avoid penalties that go as high as ₹250 crore.

Here is your technical roadmap for operationalizing the new mandates:

  1. Implement Notice and Itemized Consent (Rule 3)
    Generic “I agree” buttons to ask for consent are no longer enough. Rule 3 of DPDP states that you must provide a notice in clear and plain language that includes an itemized description of the data being collected and the specified purpose for which it will be used.
  2. Obtain Verifiable Consent (Rules 10 & 11)
    If you process data from children (under 18) or persons with disabilities, you must adopt technical measures to obtain verifiable consent from a parent or legal guardian. This involves performing due diligence to ensure the person providing consent is an identifiable adult.

  3. Enforce “Reasonable Security Safeguards” (Rule 6)
    Rule 6 defines exactly what “reasonable security safeguards” look like, requiring you to protect personal data – including data handled by third-party processors – through:

    • Data Security: Implementing encryption, obfuscation, masking, or virtual tokens to shield sensitive assets.
    • Access Controls: Managing exactly who can enter computer resources and maintaining visibility through appropriate logs and monitoring to detect unauthorized entry.
  4. Mandate One-Year Log Retention (Rules 6(e) & 8(3))
    Accountability is now backed by a strict storage requirement. Even if a user deletes their account, your organization must retain logs and personal data for a minimum period of one year from the date of processing to enable the investigation of potential breaches.
  5. Automate the Right to Be Forgotten (Rule 8)
    Under the principle of “storage limitation,” you must erase personal data once its specified purpose is served. You must notify the user at least 48 hours before the erasure, giving them a final chance to exercise their rights. For many large entities, data must be cleared three years after the user’s last contact.

  6. Meet Higher Obligations for Significant Data Fiduciaries (Rules 13 and 15)
    If your organization handles massive volumes of data and is classified as an SDF (significant data fiduciaries), you must:

    • Perform a data protection impact assessment (DPIA) and a formal audit every 12 months.
    • Ensure that specified personal data and traffic data are not transferred outside India if restricted by the government.
  7. Grievance Redressal and Data Principal Rights (Rule 14)
    Rule 14(3) requires you to prominently publish a grievance redressal system that responds to user concerns within a period not exceeding 90 days. Additionally, users now have the right to nominate individuals to exercise their rights in case of death or incapacity, requiring identity systems to be flexible enough to manage these transitions.

How Akku Can Help

As a full-stack Identity and Access Management (IAM) platform, we:

  1. Enforce zero-trust: Implement least privilege and just-in-time (JIT) privileges to minimize your attack surface.
  2. Automate lifecycle governance: Use our identity governance (IGA) module to automate “one-click” deprovisioning. This ensures that when a user leaves, all access is comprehensively revoked.
  3. Simplify consent management: Manage itemized and verifiable consent for all user groups, including children, through our Customer Identity (CIAM) solution.
  4. Maintain audit readiness: Our smart analytics provide the mandatory tamper-evident logs for one-year retention, ensuring you are always ready for an investigation or audit.
  5. Centralize device security and endpoint control: Beyond identities, Akku enforces consistent security policies across all endpoints via our GPO and mobile device management (MDM) modules. This allows you to block unauthorized peripherals like USBs, enforce work profile isolation on mobile devices, and prevent unauthorized data exfiltration across Windows, macOS, and Linux.

Talk to us today to find out how Akku can help your organization achieve full DPDP compliance.

Group Policy Object (GPO) Management, and How Akku GPO Manager Simplifies It

How do enterprises keep thousands of users and devices aligned with the same security and compliance standards? The answer often lies in Group Policy Objects (GPOs). For decades, GPOs have been the go-to method for IT teams to control system settings, enforce security policies, and streamline administration across Windows environments.

But the way we work has changed. Today’s enterprises are hybrid, cloud-first, and increasingly diverse in the devices and operating systems they manage. Traditional GPO management, while powerful, was never designed for this level of complexity. Managing policies manually or staying locked into a single ecosystem not only slows down IT teams but also increases the risk of gaps in security and compliance.

In this blog, we’ll break down what GPO management really is, why it matters for modern enterprises, and how tools like Akku GPO Manager are making policy governance simpler, more cost-effective, and future-ready.


Understanding GPO (Group Policy Object) and Why It Matters

If you have ever managed an enterprise IT environment, you know how complex it can be to enforce consistent rules across hundreds or thousands of devices. That is where Group Policy Objects (GPOs) come in.

A Group Policy Object is a feature in Microsoft Windows that allows IT administrators to define and enforce configurations for users and computers across a domain. These configurations can cover everything from password policies and firewall rules to software installation and desktop restrictions.

At its core, GPO management ensures that every user and device complies with organizational security and productivity standards. Instead of configuring machines one by one, IT teams can apply policies centrally and ensure uniformity across the environment.

Why Does GPO Management Matter?

In a modern enterprise, security and consistency are non-negotiable. Every device connected to your network represents both an asset and a potential risk. Without centralized policy management, organizations face:

  • Security gaps

    A single overlooked or misconfigured system can create an entry point for attackers. Misalignments in password strength, firewall settings, or access privileges often become the weakest link in the chain.

  • Compliance challenges

    Industries bound by regulations like GDPR, HIPAA, or ISO 27001 must demonstrate consistent policy enforcement. Without GPOs, proving compliance across devices is resource-heavy and error-prone.

  • Operational inefficiency

    Manual configuration wastes valuable IT resources. Imagine having to enforce the same rule manually on hundreds of endpoints. Not only does this slow down operations, but it also increases the risk of mistakes.

  • User productivity issues

    Consistent policy enforcement helps avoid conflicts that affect users, like inconsistent application access or misaligned security settings that slow down daily work.

  • Scalability limits

    As organizations grow, so does the number of endpoints and users. Without a centralized system like GPOs, scaling becomes chaotic and difficult to control.

In short, GPO management is not just about convenience. It is about safeguarding the organization’s security posture, ensuring compliance, and enabling IT teams to keep pace with the demands of a growing workforce and evolving threat landscape.

Common Challenges in Traditional Group Policy Management

While GPOs are powerful, traditional management methods come with their own set of headaches:

  • Complexity

    Managing dozens or hundreds of GPOs across large environments can quickly become overwhelming. Dependencies and conflicts often crop up, leading to misconfigurations.

  • Limited visibility

    Tracking which policies are applied where isn’t always straightforward, making troubleshooting and audits time-consuming.

  • Manual effort

    Traditional GPO management often requires hands-on work, which eats into IT resources and slows down responses to new threats.

  • Microsoft ecosystem lock-in

    Traditional GPO management ties organizations to Active Directory environments, creating dependency and high licensing costs.

  • Modern environments

    Hybrid workforces bring macOS, Linux, and mobile devices into the picture, and traditional GPOs don’t extend well beyond Windows systems.

These limitations make it clear that enterprises need a modern, flexible, and more cost-effective way to handle group policy management.

How Does Akku GPO Manager Meet Modern Enterprise Needs?

Akku GPO Manager is designed to address the challenges of traditional GPOs while supporting modern enterprise environments.

With Akku, IT teams can:

  • Control device policies from a single dashboard
  • Apply policies across all operating systems, not just Windows
  • Avoid vendor lock-in and high licensing costs
  • Gain real-time visibility into policy compliance
  • Simplify audits and reporting

This centralized approach not only reduces operational complexity but also strengthens an organization’s overall security posture.

Key Features of Akku GPO Manager

Modern enterprises need more than just basic GPO management. They need a solution that provides visibility, control, and security across all devices and operating systems. Akku GPO Manager delivers this through a set of robust, enterprise-ready features designed to simplify device governance and strengthen compliance.

Centralized Device Policy Control
Akku allows IT teams to manage all device policies from one unified dashboard. Whether you want to apply settings to a single device, a department, or the entire organization, the platform provides granular control without creating administrative bottlenecks. This centralized approach reduces configuration errors and ensures that security policies are applied consistently across all endpoints.

Device Security Policies
Security is at the core of every modern enterprise. Akku helps enforce critical measures, including firewalls, strong password policies, multi-factor authentication, and restrictions on unsafe networks. Browser security controls are also included, allowing administrators to block risky websites, disable private browsing, and manage extensions, giving every device a consistent security posture.

Data Privacy Policies
Akku empowers organizations to prevent misuse of sensitive data. It can disable screen capture tools, cameras, and microphones when needed, and restrict access to cloud storage services like Dropbox and Google Drive. Additional authentication requirements during system startup ensure that only authorized users gain access, further protecting enterprise data.

Data Loss Prevention (DLP) Policies
Sensitive data can be vulnerable when accessed by multiple users. Akku enables IT teams to define acceptable and unacceptable user actions, set up real-time alerts for potential violations, and block risky actions altogether. This ensures that data is handled securely and reduces the risk of accidental or intentional leaks.

Audit and Compliance Policies
Maintaining compliance is easier with Akku. Detailed audit logs track USB usage, software changes, network activity, and user login/logout events. This provides full visibility into policy adherence, simplifies internal monitoring, and ensures organizations can meet regulatory requirements without manual overhead.

Scalability and Cross-Platform Support
Akku is designed to grow with your enterprise. Whether your environment includes Windows, macOS, Linux, or mobile devices, Akku allows you to manage policies across all platforms seamlessly. This makes it ideal for modern, hybrid IT infrastructures where endpoints and user environments are diverse.

Real-Time Visibility and Reporting
Akku provides IT teams with dashboards and reports that offer real-time insights into policy enforcement and compliance trends. This allows quick identification of potential issues and faster response times, helping prevent security breaches before they happen.

Why Choose Akku for Group Policy Object Management?

Traditional GPOs are still effective for some tasks, but modern enterprises demand more flexibility, visibility, and scalability. Akku GPO Manager provides:

  • Centralized governance: One dashboard for all devices, regardless of OS
  • Cross-platform support: Manage policies across Windows, macOS, Linux, and mobile devices
  • Scalability: Adaptable for growing enterprises with increasing endpoints
  • Cost efficiency: Reduce reliance on Microsoft licensing and avoid vendor lock-in
  • Enhanced compliance and security: Consistent policy enforcement reduces risks and strengthens audit readiness

For CXOs and IT decision-makers, this translates into less operational friction, stronger security, and a clear view of the organization’s compliance posture.

Conclusion: Take Control of Your Group Policy with Akku

Group Policy Objects remain central to IT governance, but traditional methods are no longer enough. Akku GPO Manager simplifies policy management, strengthens security, and ensures consistent compliance across all devices in modern enterprises.

By adopting Akku, IT teams gain the flexibility, control, and visibility they need to manage device policies effectively, reduce operational overhead, and stay ahead of evolving security and compliance demands.

Ready to simplify your GPO management and protect your organization’s data? See how Akku GPO Manager can give you centralized control and peace of mind.

What is Data Loss Prevention (DLP), and Why Is It Crucial for Modern Cybersecurity in 2025?

What if your company’s most important data were lost tomorrow? Customer information, financial records, or product plans falling into the wrong hands could cost you millions and damage your company’s reputation.

This is no longer just an IT problem. The average cost of a data breach reached US$4.45 million in 2025, according to IBM. Privacy regulators have issued more than US$4.5 billion in GDPR fines since enforcement began. Add to that the complexities of cloud adoption, remote work, and a constantly shifting threat landscape, and it is clear that protecting sensitive information has become a business-critical priority.

With cloud adoption, remote work, and evolving cyber threats, protecting sensitive information is no longer just an IT task; it’s a business-critical priority. Data Loss Prevention (DLP) helps safeguard data, ensure compliance, and enable secure collaboration.

In this blog, learn how Data Loss Prevention prevents breaches, ensures compliance, and keeps your business secure.

What is Data Loss Prevention?

Data Loss Prevention (DLP) refers to a system of technologies, policies, and practices designed to prevent unauthorized access, transfer, or disclosure of sensitive data. A data loss prevention system works across three main areas:

  • Data in use: Information actively being accessed or edited. 
  • Data in motion: Data moving across networks, such as emails or file transfers. 
  • Data at rest: Stored data in databases, endpoints, or the cloud. 

By monitoring and controlling these flows, DLP helps protect against accidental leaks (like an employee emailing a file to the wrong recipient), insider threats, or malicious exfiltration. A well-crafted DLP policy gives organizations the ability to define what qualifies as sensitive, how it should be handled, and what actions should be blocked or allowed.

This clarity is especially critical for industries like banking, healthcare, and SaaS, where data is not just an operational asset but also heavily regulated.

Why Is DLP Important in Cybersecurity Today?

Data loss prevention is no longer a nice-to-have. It sits in the middle of three forces that every leadership team is dealing with in 2025. Rising breach costs, a human-driven threat surface, and stricter data regulations across regions.

First, the money. IBM’s 2024 Cost of a Data Breach study pegs the global average breach at 4.88 million dollars. That is up from 4.45 million and reflects more disruption and longer recovery windows. Breaches in regulated sectors run even higher. Finance and healthcare top the list year after year.

Second, the human element is still the biggest risk factor. Verizon’s 2024 DBIR shows 68 percent of breaches involve a non-malicious human element. Think misdirected email, misclassification of files, or pasting sensitive content into the wrong app. DLP cuts straight into these scenarios by inspecting content and context, warning users in the moment, or stopping the action entirely.

Third, the way we work has changed. Cloud and personal apps are everywhere, and genAI tools are now part of daily workflows. Netskope’s 2025 Cloud and Threat Report found that 26 percent of users upload or send data to personal apps each month. It also found that 8.4 of every 1,000 users click a phishing link monthly. The same report shows 45 percent of organizations are already using DLP to control data flowing into genAI apps. This is exactly where a modern data loss prevention system earns its keep. It watches sanctioned and unsanctioned apps, understands sensitive data, and applies precise DLP policy decisions without slowing the business down. 

Regulatory pressure is the other reason leaders prioritize DLP. Under GDPR, fines can reach 20 million euros or 4 percent of global annual turnover. India’s Digital Personal Data Protection Act allows penalties up to 250 crore rupees for failure to maintain security safeguards. A well-designed DLP program helps you prove due care, document controls, and pass audits with less pain. 

What does this mean in practice for CXOs and security leaders?

  • You reduce avoidable losses by catching the everyday mistakes that create outsized exposure. Think spreadsheet with PII uploaded to a personal drive or code with secrets pasted into a chatbot. DLP helps you stop these before they become incidents. Evidence shows this is where much of the risk sits. 
  • You gain cleaner governance across cloud sprawl. The right data loss prevention system identifies sensitive data wherever it lives and applies one policy across email, endpoints, SaaS, IaaS, and genAI usage. That simplifies audit and shortens incident response. 
  • You improve resilience and insurance readiness. Documented DLP controls, user coaching, and automated blocking make for stronger control narratives with boards, regulators, and carriers. 
  • You accelerate digital projects with guardrails. Teams can use the tools they need while DLP watches the data. That is the goal for 2025. Enable, not obstruct. 

Key Features of a Data Loss Prevention System

A modern data loss prevention system is not just a tool that blocks files from leaving your network. It combines content intelligence, user context, and enforcement to give organizations visibility and control over their most sensitive information. The most effective DLP platforms in 2025 typically include these core features:

  1. Content Inspection and Classification

    At the heart of any DLP system is the ability to identify sensitive data. This involves deep content inspection (looking inside documents, emails, and attachments) and context-based analysis (who is sending it, from where, and to whom). Classification engines can detect patterns like credit card numbers, Social Security numbers, or source code. Many advanced solutions now include fingerprinting and exact data matching, so even partial records can be caught.

     

  2. Policy-Based Controls

    A strong DLP policy lets you define rules aligned with your organization’s compliance needs and risk appetite. For example, you can block customer data from leaving through personal email, restrict file uploads to unauthorized cloud apps, or allow encrypted transfers only to approved business partners. The best systems provide flexibility, and policies can be granular enough to distinguish between business-critical workflows and high-risk behavior.

     

  3. Endpoint, Network, and Cloud Coverage

    Sensitive data does not live in one place anymore. It moves across laptops, servers, SaaS applications, and cloud platforms. A modern DLP solution extends across all these layers:

  • Endpoint DLP monitors data being copied to USB drives, printed, or shared through applications. 
  • Network DLP inspects traffic like email, file transfers, and web uploads. 
  • Cloud DLP integrates with SaaS platforms and IaaS environments to control data moving in and out of cloud storage and productivity apps. 

  1. Real-Time Alerts and User Coaching

    Blocking is important, but it can frustrate employees if it happens blindly. Modern DLP systems are designed to educate users in real time. Instead of just stopping an action, they display a warning such as: “This file contains personal data and cannot be sent outside the company.” This reduces accidental leaks while training staff to recognize sensitive information.

     

  2. Encryption and Data Masking

    DLP is not only about prevention. It also helps enforce protection. Many solutions integrate encryption and tokenization so that sensitive files remain secure even if they travel outside the organization. Masking and redaction allow certain users to see only the information they are authorized to access.

     

  3. Advanced Analytics and AI

    With growing data volumes, machine learning and AI now play a big role in reducing false positives. For example, instead of flagging every document with a number sequence, AI can determine if the context actually relates to a credit card or an internal code. Analytics dashboards also provide executives with insight into where the biggest risks come from, whether that is careless insiders, misconfigured apps, or specific business units.

     

  4. Compliance and Audit Reporting

    Finally, DLP systems generate reports that map directly to regulatory requirements. Whether it is GDPR, HIPAA, or India’s Digital Personal Data Protection Act, organizations need evidence of controls. Detailed logs and audit trails help demonstrate compliance during external audits and simplify internal risk reviews.

How Does DLP Software Work to Protect Sensitive Data?

DLP software works by combining discovery, monitoring, and response:

  1. Discover: The system scans storage, cloud apps, and endpoints to locate sensitive data. 
  2. Monitor: It tracks how users interact with that data across email, file transfers, and collaboration tools. 
  3. Respond: Based on the DLP policy, it can block, quarantine, encrypt, or alert security teams in real time. 

For example, if an employee tries to upload a spreadsheet with customer data to a personal Dropbox account, the DLP system can block the transfer and send a notification. If a developer pastes proprietary code into a public AI chatbot, the system can detect and prevent that, too.

The goal is precision with minimal disruption. Modern DLP solutions use AI-driven classification and context to avoid false positives that frustrate employees.

Creating an Effective DLP Policy for Your Organization

Technology is only as strong as the DLP policy behind it. A good policy includes:

  • Defining what counts as sensitive data: Customer PII, financial data, health records, trade secrets. 
  • Risk-based controls: Not all data requires the same protection. Segment policies for crown-jewel data. 
  • Employee awareness: Users need to understand why certain actions are blocked and how to work securely. 
  • Integration with compliance frameworks: Align your DLP policy with GDPR, HIPAA, DPDP Act, or ISO 27001 requirements. 
  • Incident response alignment: Ensure DLP alerts feed directly into your SOC or SIEM for faster action.

For leadership, the focus should be on balance: protect the data without slowing down the business.

Why Is Akku a Smart Choice for Data Loss Prevention in 2025?

Most organizations struggle with fragmented controls. Some tools protect email, others protect endpoints, and still others focus on the cloud. This leaves blind spots.

Akku offers an integrated data loss prevention system built for 2025 realities. With Akku, you can:

  • Apply consistent DLP policies across on-premises, cloud, and SaaS apps. 
  • Control sensitive data in generative AI usage. 
  • Simplify audits with unified logs and reporting. 
  • Coach users in real time with friendly prompts instead of just blocking. 
  • Scale DLP without heavy infrastructure or complexity. 

For IT managers and CISOs, this means stronger protection and smoother compliance. For business leaders, it means projects can move forward without fear of uncontrolled data leaks.

Conclusion: Protect Data, Ensure Compliance, and Strengthen Security with Akku

As data volumes grow and regulations tighten, data loss prevention is no longer optional. It is a cornerstone of cybersecurity strategy in 2025.

By understanding what data loss prevention is, adopting the right DLP policy, and deploying a modern data loss prevention system, organizations can reduce risk, avoid costly breaches, and build trust with customers and regulators.

Akku helps you get there with a solution designed for the way people work today, cloud-first, AI-enabled, and compliance-driven.

ZTNA Decoded: What is Zero Trust Network Access, and Why is it Replacing VPNs?

Let’s be honest. VPNs weren’t built for how we work today.

They made sense when everyone was in one office, using company devices, connecting to a network with clear boundaries. But now? People are logging in from coffee shops, airports, and personal laptops – and attackers have learned how to slip right through the cracks.

That’s where Zero Trust Netw                     ork Access (ZTNA) comes in. It doesn’t matter if you’re “inside” the network or not. ZTNA assumes no one gets a free pass. Every user, device, and connection is verified every time.

This blog breaks down what ZTNA really is, how it works, and why it’s quickly becoming the smarter, safer alternative to VPNs.

What Is Zero Trust Network Access (ZTNA)?

Zero Trust Network Access is a modern approach to remote access. It doesn’t assume someone should have access just because they’re on your network. Every request is checked in real time. Access is granted only to the app or data the user needs. Nothing more.

It’s a shift from blanket access to controlled, need-based access that happens quietly in the background.

What’s the Core Principle Behind ZTNA?

ZTNA adheres to a simple principle: never trust, always verify.

It doesn’t matter where someone is working from or what device they’re using. Until their identity, device, and behavior are verified, they don’t get access. And even after access is granted, ZTNA keeps watching in case something changes.

This ongoing verification is what makes it so effective.

How Is ZTNA Different from Traditional Network Security?

The biggest difference between ZTNA and traditional network security is trust. Traditional models assume that if a user is inside the network, they are not a security risk. Once someone connects through a VPN, they usually get broad access to internal systems. That worked when networks had clear perimeters, and most people worked from one place. But today, that assumption is a liability.

ZTNA doesn’t care where a user is coming from. It treats every request, even from inside the network, as untrusted until it’s verified. Instead of giving blanket access, it checks each login, each device, and each request in real time.

Here’s how that plays out in practice:

  • Network vs. App Access
    VPNs give users access to the network itself. That often includes more access than they really need. ZTNA only grants access to specific applications or services.
  • One-Time vs. Continuous Checks
    With a VPN, checks mostly happen at login. After that, the user can usually move freely. ZTNA continues to run checks throughout the session, constantly monitoring for risk.
  • Visible vs. Invisible Infrastructure
    In a VPN model, users can often see every system on the network, even if they can’t access them. ZTNA hides everything that the user doesn’t explicitly have access to. If you don’t have permission, it’s like the system doesn’t exist.
  • Perimeter-Based vs. Identity-Based
    Traditional models rely on network perimeters: if you’re on the right network, you’re trusted. ZTNA is built around identity, context, and device trust, not where the request is coming from.

In short, VPNs assume “you’re in, so you’re safe.” ZTNA says, “prove it – every time.” That’s the core of the mindset shift.

How Does Zero Trust Network Access (ZTNA) Work?

ZTNA acts like a smart gatekeeper between users and the apps or services they want to access. It checks who’s asking, what they’re using, and whether everything looks safe before allowing entry. These checks don’t just happen once. They run continuously in the background so the system can spot risk and respond quickly.

Here’s how ZTNA makes this happen…

Identity-Based Access Controls

Everything starts with the user’s identity. ZTNA connects with your existing identity providers, like Azure AD or Okta, and uses tools such as single sign-on and multi-factor authentication to verify who’s logging in. Based on that verified identity, it applies access rules. These rules can be based on the user’s role, department, device, or even time of day.

It’s a precise way to manage access, rather than giving everyone the same level of permission.

Continuous Verification Mechanisms

ZTNA doesn’t stop checking once someone logs in. It keeps watching. If a device suddenly looks risky, the login location is unusual, or the user’s behavior seems out of the ordinary, access can be blocked immediately.

It’s like having a security guard who never gets distracted and notices every red flag the moment it appears.

Role of Micro-Segmentation

Instead of opening the whole network to every user, ZTNA breaks it into smaller, isolated parts. Each app or service is treated separately. Users only get access to what they’ve been approved for. They can’t jump from one system to another without specific permission.

This keeps potential threats contained. If one account is compromised, there’s no easy path for an attacker to reach the rest of your network.

Key Benefits of Implementing ZTNA

ZTNA isn’t just about blocking threats. It also makes life easier for users and gives IT more control, with fewer gaps to worry about.

Enhanced Security

ZTNA removes the idea of automatic trust. Every request is verified before access is granted. It checks identity, device health, and context, like location or time of day. If anything seems off, access is denied.

This limits how far an attacker can go, even if they get in with stolen credentials. There is no open network to move around in, just isolated apps with tightly controlled access.

Seamless Remote Work Enablement

ZTNA lets people connect securely from anywhere without needing a VPN. There is no bulky software or slow tunnels to deal with. Users get access only to the apps they need, nothing more.

It is fast, easy to use, and works on both company-managed and personal devices. That makes it perfect for remote and hybrid teams.

Reduced Attack Surface

With ZTNA, if a user does not have access to an app or system, they cannot even see that it exists. This keeps your infrastructure hidden from anyone who does not need to be there.

Fewer exposed systems mean fewer opportunities for attackers to find a way in. Even if one user or device is compromised, the rest of your network stays protected.

Better Visibility and Control

ZTNA logs every request and every action. IT teams can see who accessed what, when, and from where – all in one place.

You also get more control. Access can be granted or revoked instantly without waiting for firewall changes or reconfigurations. That makes user management simpler and response times faster.

Common ZTNA Models and Architectures

ZTNA can be deployed in a few different ways, depending on your network setup, device ownership, and access needs. The core idea stays the same, but the architecture changes slightly based on how users connect and how apps are hosted.

Service-Initiated ZTNA

In this model, the application or service initiates the connection. A ZTNA broker sits between the user and the app. The app remains invisible until the broker verifies the user’s identity and checks their access permissions.

Only after this verification does the broker allow a secure, one-to-one connection to that specific app. The user never sees anything else on the network. This model works well when you want to keep sensitive resources hidden and fully protected behind strict controls.

Device-Initiated ZTNA

Here, the user’s device starts the connection. The device reaches out to the ZTNA controller, proves its identity, and requests access to specific apps.

This model is a good fit when devices are managed by the organization. Since the system already trusts the device and can enforce compliance rules, it gives IT more control at the endpoint. If the device falls out of compliance, access can be blocked automatically.

Cloud-Based ZTNA Solutions

These solutions are hosted by third-party providers and delivered through the cloud. They work across different environments, whether your apps are on-premises, in the cloud, or spread across multiple platforms.

Cloud-based ZTNA is often the easiest to deploy. There is no hardware to maintain, and updates are handled by the provider. This model is ideal for hybrid or fully remote teams and for organizations that want to roll out Zero Trust quickly without overhauling their infrastructure.

ZTNA Use Cases Across Industries

Zero Trust Network Access is not just for large enterprises or tech companies. It solves real, everyday challenges across industries, from finance and healthcare to manufacturing and education. Wherever secure access is needed, ZTNA can help.

Securing Remote Workforces

Remote and hybrid work has become the norm, but traditional security models have not kept up. VPNs are often slow, unreliable, and hard to scale.

ZTNA offers a cleaner approach. It gives employees secure access to only the apps and data they need, no matter where they’re working from or what device they’re using. It does not rely on full network access, which means even remote teams can work safely without putting your internal systems at risk.

Whether people are working from home, on the go, or in shared spaces, ZTNA helps keep their access secure and focused.

Access Control for Third-Party Vendors

Most organizations work with vendors, contractors, or partners who need temporary access to internal systems. That access, if not managed properly, can become a major risk.

ZTNA lets you grant limited access to just one system or app, for a specific time, and from a specific device if needed. Once the job is done, access can be revoked instantly.

There’s no need to give vendors full VPN access or expose your network more than necessary. ZTNA makes third-party access safer and easier to manage.

Cloud Migration & Multi-Cloud Security

As more businesses move to the cloud or adopt a mix of platforms like AWS, Azure, and Google Cloud, managing secure access becomes more complex.

ZTNA helps you apply consistent access policies across all your environments. Whether your apps are on-premises, in one cloud, or across several, ZTNA treats them the same way, protecting each one with identity-based controls and continuous verification.

It simplifies your security posture and reduces the chance of gaps during cloud transitions.

Secure Your Network with Akku’s Tailored ZTNA Solutions

ZTNA is not just a replacement for your old VPN. It’s a smarter, more flexible way to control who gets access to what, without exposing your entire network.

At Akku, we help you make that shift smoothly. Our ZTNA solutions are built around how your teams work, what tools you use, and what you need to protect. Whether you’re managing remote access, onboarding vendors, or securing cloud apps, we make sure access stays tight and simple.

You don’t have to tear down your existing setup to get started. We work with what you already have, bring in Zero Trust where it matters, and give you full visibility and control without added complexity.

Ready to take the next step? Let’s talk.

What does SSO (Single Sign-On) mean and How It Works in Enterprise Environments

Every day, employees face dozens of login screens. Each one demands a password, and each one slows them down. Single sign-on, or SSO, changes that. It lets users log in once and move freely across multiple applications. We are often asked, “What is single sign-on?” And this is important to understand, because understanding how SSO works means recognizing a shift – from scattered credentials to unified access. In enterprise environments, this simple idea transforms security and productivity alike.

Tired of multiple logins? Akku’s SSO/IDP offers one-click access to all your apps – secure, efficient, and enterprise-ready.

Single Sign-on (SSO) Meaning: One Login, Multiple Benefits

Let’s begin with the meaning of SSO. The full form of SSO is Single Sign-On. At face value, it’s a convenience tool. Log in once and you’re in to everything. But its essence is deeper. SSO is not just about reducing logins. It’s about streamlining identity, about turning chaos into clarity.

So, what is SSO? What is single sign-on? It’s the idea that authentication should be unified. You prove your identity once, securely, and gain access to multiple systems. Think of it as a backstage pass. Instead of knocking at every door, you’re granted a badge. That badge, cryptographically signed and verified, opens every room you’re authorized to enter.

How Does SSO Work? – A Unified Login Solution Explained

The Core Components Behind SSO

To understand how SSO works, imagine an office building. You enter through the main door and show your ID at reception. After that, you walk freely between departments. That’s the idea behind SSO integration.

Step-by-Step SSO Authentication Flow

Here is a step-by-step overview of the SSO authentication process:

  • The user requests access to a protected application.
  • The application redirects the user to an identity provider.
  • The identity provider checks for an active authentication session.
  • If none exists, the user is prompted to enter credentials.
  • After verification, the identity provider issues a secure token.
  • The token returns to the application, which validates it and grants access.

This process happens almost instantly. Technologies like SAML, OAuth, and OpenID Connect make sure identity information moves safely and reliably. These protocols build the trust that modern systems depend on.

If you’re considering how to approach SSO implementation, the answer lies in building trust between systems, leveraging token-based communication, and ensuring encrypted interactions between identity and service providers.

Common SSO Protocols

The widely adopted protocols supporting SSO include

  • SAML (Security Assertion Markup Language): Common in enterprise environments.
  • OAuth: Designed for authorizing third-party access without sharing passwords.
  • OpenID Connect: Built on OAuth for richer identity information and enhanced user experience.

Why Do Enterprises Need SSO Today?

Increased Productivity Through Reduced Login Fatigue

Imagine an employee who needs to check Salesforce, Zoom, Jira, and Notion – all before their first coffee. Without SSO, that’s four logins. With it, just one. That’s time saved. Focus preserved. And that mental energy is redirected toward work that matters.

Improved Security (No Password Reuse, Better Authentication)

Having many passwords often leads to poor security. Users tend to reuse passwords, write them down, or choose weak ones. With SSO, there is only one password to protect. And it’s easier to remember one strong password than multiple weak ones.

Better It Efficiency (Centralized Control And Fewer Reset Requests)

Ask any IT admin what the most common ticket is. Password resets. SSO drastically reduces these. With SSO integration, access becomes a switchboard. IT can turn permissions on or off, audit usage, and streamline offboarding – all from a central dashboard.

Support For Hybrid/Remote Workforces

Whether an employee logs in from the office, their home, or a café, SSO applications deliver a consistent experience. That’s the power of centralized identity. Location no longer dictates access. Trust does.

Single Sign-On (SSO) Applications & Examples

Consider this single sign-on example: a new hire joins your company. On day one, they sign in with their corporate credentials. Instantly, they’re in Gmail, Slack, Trello, and the company wiki. They don’t need to ping IT. They don’t need setup guides. They just start.

That’s the magic of SSO. It’s invisible when it works. And indispensable once adopted. Here are some more examples…

Finance: One Login, Instant Access

A junior analyst walks into the office on day one. She logs in with Akku SSO. Instantly, she’s inside the trading platform, the reporting dashboard, and the compliance portal. No waiting. No IT calls. In a business where milliseconds cost millions, this isn’t convenience – it’s strategy.

Healthcare: Saving Time to Save Lives

A doctor moves between patients, tablets in hand. With a single sign-on, she pulls up scans, lab results, and schedules without breaking stride. Akku SSO makes it seamless. The fewer seconds spent logging in, the more time she has to do what matters – care for people.

IT: Build and Deploy Faster

An engineer flips between Jira, GitHub, and AWS. With Akku SSO, it’s one login for everything. No sticky notes, no reset links. Workflows. Security holds. Akku doesn’t just streamline – it gives IT what it always wanted: control without compromise.

Akku SSO: Enterprise-Grade Access Control Made Simple

For enterprises navigating the complexities of modern identity, Akku delivers more than just a login solution. It provides a strategic advantage. As one of the leading SSO providers, Akku offers a single sign-on service built for both scale and simplicity.

Whether you’re starting fresh or integrating into a legacy system, Akku’s SSO implementation tools make the transition seamless. Its platform works across cloud and on-premise environments, giving IT teams control and users freedom.

If you’re ready to simplify access and strengthen security, Akku is the SSO application partner you’ve been looking for.

Enterprise-Grade Security Starts Here – Try Akku SSO/IDP for Smarter Access Control.

Catch up on the latest trends and updates by exploring our informative and engaging blog section.

Where Traditional IAMs Fall Short – And How Akku Brings Flexibility

Businesses in any industry face security and compliance issues. However, security requirements and priorities are not the same across the board. Identity and access management (IAM) represents an important part of the solution to these challenges, but again, a cookie-cutter approach to IAM does not address the unique needs of each business.

The Fatal Flaw of Traditional IAM Systems

The problem? Most IAM solutions out there lack the business flexibility you need. Your IT team has to compromise and use a rigid, all-in-one solution that may still leave security gaps because it can’t adjust to specific needs.

  • Just looking for a way to get a multi-factor authentication up and running? You’re stuck paying for a suite of other features that come with the package.
  • Struggling with a custom integration for an internal app? That’s a ‘you’ problem that your IAM provider doesn’t want to get their hands dirty with.
  • Need to create a customized approach to an IAM feature because you have a unique process? You’re out of luck – what’s available straight out of the box is what you need to work with.

One-Size-Fits-All Doesn’t Work for Security

Solutions from most top IAM vendors follow a one-size-fits-all approach. Their products are built to make them everything-for-everyone, rather than to be the optimal solution to your specific business requirements. 

Although these IAM providers have good reputations and excellent products, they don’t tailor their solutions to your needs. 

That’s fine for some, but not if your business requires specific security solutions, or if you are prioritizing certain aspects of your security posture based on budgets and lifecycle status. If that’s you, you’ll find that you end up paying for features you don’t need or fighting with tools that don’t fit your operations.

The downsides of this approach are clear:

  • Higher costs – Companies pay for multiple licenses or features they don’t need.
  • Rigid feature set – Your company processes have to adjust to suit the IAM, not the other way around.
  • Operational inefficiencies – Too many features can confuse users in their daily operations.

Why Flexibility Matters

In contrast to off-the-shelf IAM products, a flexible IAM platform enables businesses to establish access policies in accordance with their true needs. Your security policies and tools need to meet your business needs, and not be limited to the framework that your IAM vendor dictates.

With a flexible IAM solution:

  • You set the rules for your organization, not a third-party provider
  • You only pay for features you really need.
  • Your IAM fits your needs like a glove, driving operational efficiency and optimal security.

Akku – the Flexible IAM

Akku is designed to be highly flexible and customizable. In contrast to competitors, Akku enables your business to pick and choose only the features you require. Its modular design keeps you in complete control of access management without unnecessary overhead.

And taking this further, Akku even enables complete feature customization within each of our IAM modules, leaving you in complete control of your own security posture. If Akku’s features don’t meet your needs exactly, we’ll build you the customized functionality you need.

Customization extends to custom integrations too, with our team of experts on hand to help you integrate Akku with every one of your apps.

Most organizations pick from the most popular IAM brands, just because they are the biggest names. But the question remains – do they really fit your requirements? Should you be adjusting to suit the IAM, or should it be the other way around?

Don’t accept a rigid, pre-packaged solution. Adopt a flexible IAM solution like Akku.

Ready to streamline your IAM approach? Get in touch with our experts today for a demo.