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09/07/2026 3:24 pm
TL;DR: Unified identity threat detection is increasingly framed as the answer to SOC blind spots, with Cybersecurity Insiders reporting only 4% of organisations have full visibility across security data and 96% still face gaps, especially in cloud infrastructure and IAM. The real shift is that identity context is becoming a core detection signal, not a separate governance layer.
NHIMG editorial — based on content published by Gurucul: Unified Identity and Threat Detection for Smarter Security
By the numbers:
- Only 4% achieving full visibility across their security data.
- The remaining 96% of organizations face critical blind spots, particularly in cloud infrastructure (74%) and identity access management (67%).
- 45% have 20 or more tools, according to the report.
Questions worth separating out
Q: How should security teams reduce identity blind spots in hybrid environments?
A: Security teams should correlate identity, cloud, endpoint, and application signals in one workflow so suspicious behaviour can be evaluated in context.
Q: Why do privileged accounts create such high detection risk?
A: Privileged accounts can perform legitimate actions that look normal until the context changes, which makes them ideal for hiding compromise.
Q: What do teams get wrong about identity threat detection?
A: They often treat detection as separate from governance, when in practice the same identity data should support both.
Practitioner guidance
- Unify identity telemetry sources Pull directory, cloud, endpoint, and application identity signals into one detection view so access misuse can be correlated with privilege state and session context.
- Prioritise high-risk identities for continuous review Focus first on privileged users, service accounts, API keys, and third-party access paths with standing access.
- Baseline normal access and alert on drift Define expected login geography, API usage, privilege patterns, and device posture for critical identities.
What's in the full article
Gurucul's full blog post covers the operational detail this post intentionally leaves for the source:
- A walkthrough of how its ITDR approach combines identity telemetry with behavioural analytics across hybrid environments.
- Examples of identity attack patterns the vendor says it detects, including privilege abuse, rogue accounts, and lateral movement.
- Descriptions of automated response playbooks and how they are triggered after true-positive identity threats are identified.
- A closer look at the compliance and third-party monitoring claims the article ties to identity risk reduction.
👉 Read Gurucul's analysis of unified identity threat detection and IAM visibility gaps →
Identity threat detection and IAM visibility gaps: what teams must fix?
Explore further
09/07/2026 3:43 pm
Identity threat detection is becoming a governance requirement, not just a SOC capability. Once identity telemetry becomes the best signal for compromise, IAM and detection can no longer be managed as separate functions. The organisations that still treat them independently will keep certifying access that is already being abused. Practitioners should align governance and detection around the same identity data model.
A few things that frame the scale:
- Only 5.7% of organisations have full visibility into their service accounts, according to Ultimate Guide to NHIs.
- 91.6% of secrets remain valid five days after the targeted organisation is notified, showing how slowly many environments can still revoke exposed credentials.
A question worth separating out:
Q: Who should be accountable when identity misuse is detected?
A: Accountability should sit with the control owner for the identity type involved, whether that is IAM, IGA, SOC, or platform security. For third-party and machine identities, the owner must also be responsible for lifecycle actions such as revocation, not just monitoring.
👉 Read our full editorial: Identity threat detection now depends on unified identity telemetry
