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23/06/2026 7:29 pm
TL;DR: SIEM, XDR, and ITDR solve different parts of the detection stack, but only ITDR is built to continuously inspect identity behaviour, privilege drift, and session misuse across human and machine accounts, according to Unosecur. The critical issue is that generic telemetry tools still assume identity abuse will appear as an obvious event, which is often too late.
NHIMG editorial — based on content published by Unosecur: ITDR vs. SIEM vs. XDR: Understanding the differences and why it matters
Questions worth separating out
Q: How should security teams decide where SIEM ends and ITDR begins?
A: Security teams should use SIEM for broad log collection, correlation, and forensic support, then use ITDR where the risk depends on identity behaviour rather than infrastructure events.
Q: Why do XDR platforms still miss some identity attacks?
A: XDR often sees the event but not the identity context.
Q: What breaks when identity monitoring is treated as a generic alert problem?
A: Teams lose the ability to distinguish legitimate access from abuse that unfolds inside normal-looking events.
Practitioner guidance
- Separate identity detection from generic event correlation Keep SIEM for log aggregation, compliance, and investigation, but do not rely on it alone for subtle identity abuse.
- Baseline both human and machine identities Create behavioural baselines for service accounts, API-driven workloads, and privileged users, then compare access patterns against those baselines continuously.
- Enrich XDR with identity context Feed entitlement data, identity metadata, and lifecycle state into XDR so cross-domain correlation can distinguish ordinary logins from suspicious credential or token use.
What's in the full article
Unosecur's full blog covers the operational detail this post intentionally leaves for the source:
- A side-by-side breakdown of SIEM, XDR, and ITDR use cases for detection, response, and forensic review
- Examples of identity anomalies that ITDR is designed to catch, including privilege escalation and session impersonation
- Implementation detail on how enriched identity metadata changes alert quality and response speed
- A documented financial-sector case showing automated remediation after subtle credential abuse
👉 Read Unosecur's ITDR analysis of SIEM and XDR gaps for identity security →
ITDR vs SIEM vs XDR: what identity teams should prioritise?
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25/06/2026 3:32 am
Identity security now needs a purpose-built control layer, not just more telemetry. SIEM and XDR were built for broad detection and correlation, while identity abuse often depends on nuance such as privilege context, session continuity, and account behaviour. That mismatch is why identity-specific monitoring has become a distinct programme requirement, not a feature request. Practitioners should treat identity as its own detection domain.
A few things that frame the scale:
- 85% of organisations lack full visibility into third-party vendors connected via OAuth apps, according to The State of Non-Human Identity Security.
- That same research found that 1 in 4 organisations are already investing in dedicated NHI security capabilities, with an additional 60% planning to do so within the next twelve months.
A question worth separating out:
Q: When should organisations prioritise ITDR over additional SIEM tuning?
A: Organisations should prioritise ITDR when identity misuse, session abuse, or privilege escalation is a realistic attack path and current monitoring cannot explain those behaviours quickly enough. If alerts arrive after the identity event has already played out, tuning SIEM is usually not enough. Identity-native detection becomes the better investment.
👉 Read our full editorial: ITDR vs SIEM vs XDR: why identity needs its own layer
