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Topic starter
11/07/2026 8:33 pm
TL;DR: Fragmented IAM logs across SaaS, cloud, and legacy systems can hide suspicious logins, privilege escalation, and data access chains that only become visible after damage is done, according to eMudhra. Disciplined cross-application auditing turns identity from a compliance artefact into an operational control for detection, response, and accountability.
NHIMG editorial — based on content published by eMudhra: auditing IAM activity across multiple applications during cybersecurity threats
Questions worth separating out
Q: How should security teams audit IAM activity across multiple applications?
A: Security teams should centralise identity telemetry, normalise event fields, and correlate authentication, privilege, and access activity across SaaS, cloud, and on-prem systems.
Q: Why does fragmented IAM increase operational and security risk?
A: Fragmented IAM increases risk because access data, review states, and revocation actions diverge across tools.
Q: What breaks when IAM auditing is limited to one platform?
A: A single-platform view breaks incident reconstruction, because identity compromise usually spans authentication, authorisation, and downstream resource access.
Practitioner guidance
- Centralise identity telemetry across all applications Ingest logs from IdPs, SaaS platforms, cloud audit services, PAM, and key directories into one investigation-ready repository so teams can correlate a single identity across systems.
- Build correlation rules for privilege and access drift Link login activity to role changes, unusual resource access, and session anomalies so a legitimate authentication event can still trigger investigation when the follow-on behaviour is abnormal.
- Protect audit evidence for incident reconstruction Retain identity logs long enough for forensics, secure them against tampering, and ensure the data can still be queried after the incident has begun.
What's in the full article
eMudhra's full article covers the operational detail this post intentionally leaves for the source:
- Practical steps for consolidating IAM logs from SaaS, cloud, and on-prem environments into one audit view
- Examples of how identity analytics, ITDR, and SOAR can be chained into detection and response workflows
- The compliance framing behind log retention, access traceability, and evidence preservation across regulated environments
👉 Read eMudhra's analysis of IAM auditing across multiple applications →
IAM auditing across apps: what security teams are missing?
Explore further
11/07/2026 9:00 pm
IAM visibility is now a correlation problem, not a logging problem. The challenge is not that enterprises lack identity events. The problem is that the events are spread across applications that do not share a common investigation path. Without cross-platform correlation, identity compromise looks like ordinary activity until the damage has already spread. Practitioners should treat fragmented logs as a governance failure, not a tooling inconvenience.
A few things that frame the scale:
- 88.5% of organisations acknowledge that their non-human IAM practices lag behind or are merely on par with their human identity and access management efforts, according to The 2024 Non-Human Identity Security Report.
- Only 19.6% of security professionals express strong confidence in their organisation's ability to securely manage non-human workload identities.
A question worth separating out:
Q: Who is accountable when identity activity cannot be traced across systems?
A: Accountability sits with the organisation’s identity and security owners, because incomplete audit design is a governance failure, not just an operational miss. Frameworks such as NIST SP 800-53 and ISO 27001 expect traceable identity controls, while SOC teams need evidence that supports incident review. If no one can reconstruct the event, no one can defend the control.
👉 Read our full editorial: IAM auditing across multiple applications is now a security gap
