Notifications
Clear all
Topic starter
06/07/2026 9:36 am
TL;DR: ITDR for NHIs must move beyond human-centric alerting because machine identities can be high-privilege, long-lived, and hard to remediate safely, with detection based on real-time identity usage data, according to Token Security. The real shift is that NHI governance now has to distinguish risky behaviour from materialized threat without breaking production workflows.
NHIMG editorial — based on content published by Token Security: ITDR for NHIs and how it detects risky behaviours and materialized threats
By the numbers:
- 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation.
- 71% of NHIs are not rotated within recommended time frames, increasing the risk of compromise over time.
- 96% of organisations store secrets outside of secrets managers in vulnerable locations including code, config files, and CI/CD tools.
Questions worth separating out
A: Treat response as a business-impact decision, not just an alert workflow.
Q: Why do non-human identities need different detection logic from human accounts?
A: Because service accounts, APIs, and workloads often have long-lived access, broad privilege, and direct system dependencies.
Q: What should organisations measure to know if NHI ITDR is working?
A: Measure whether detections produce usable decisions, not just alert counts.
Practitioner guidance
- Map identity ownership to business impact Document which NHIs support critical workflows, which credentials are shared, and which identities would cause outage if disabled.
- Instrument real-time identity usage across fragmented systems Correlate cloud, CI/CD, SaaS, microservice, and AI agent telemetry so identity behaviour can be evaluated in one place before response decisions are made.
- Separate risky behaviour from confirmed compromise Define thresholds for internal misuse, policy violations, and external threat indicators so analysts do not treat every anomaly as an attack and every attack as a simple policy issue.
What's in the full article
Token Security's full blog covers the operational detail this post intentionally leaves for the source:
- The platform's real-time identity usage graph and how it correlates activity across cloud, CI/CD, SaaS, microservices, and AI systems
- The response logic used to distinguish risky internal behaviour from materialized threats before taking action
- The business-impact mapping approach that helps avoid breaking customer-facing or revenue-generating workflows
- Examples of the specific detections the vendor says it can generate from anomalous NHI usage patterns
👉 Read Token Security's blog on ITDR for NHIs and risky behaviour detection →
ITDR for NHIs: what changes for identity teams now?
Explore further
06/07/2026 9:51 am
ITDR for NHIs is a governance problem before it is a detection problem. The article correctly shows that machine identities need context-aware response because they are high-privilege and difficult to disable safely. That means the real issue is not alert generation but deciding which identities can be contained without disrupting critical services. Practitioners should treat NHI ITDR as a lifecycle and response governance capability, not a sensor layer alone.
A few things that frame the scale:
- 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation, according to the Ultimate Guide to NHIs.
- Only 5.7% of organisations have full visibility into their service accounts, according to the Ultimate Guide to NHIs.
A question worth separating out:
Q: Who should own remediation when an NHI looks compromised?
A: Ownership should sit with the teams that know the identity’s business purpose, technical dependencies, and acceptable failure modes, usually in partnership with IAM, security operations, and application owners. NHI remediation fails when one team acts without understanding what the identity protects.
👉 Read our full editorial: ITDR for NHI governance: what real-time identity data changes
