Topic starter
13/10/2026 1:21 pm
TL;DR: AI agents, bots and service accounts are expanding the identity attack surface because machines can authenticate, access data and trigger workflows just like people, according to Stellar Cyber, while still needing continuous detection when behavior shifts. Static IAM no longer covers the full trust problem for machine identities.
Editorial analysis by NHI Mgmt Group, based on content published by Stellar Cyber: “Your Next Identity May Not Be Human”.
Key questions
Q: How should security teams govern machine identities in industrial environments?
A: Security teams should govern machine identities the same way they govern privileged access: assign an owner, define a specific purpose, limit scope, and review it continuously.
Q: Why do service accounts and AI agents need different controls from human users?
A: Service accounts and AI agents authenticate and act without the predictable patterns that human identity systems expect.
Q: What are the signs that a machine identity is no longer trustworthy?
A: Look for access to unfamiliar applications, abnormal login timing, unusual source hosts, unexpected network communication and workflow actions that do not match the identity’s normal purpose.
Practitioner guidance
- Map every machine identity to a business owner Build a complete inventory of service accounts, bots, API clients and AI agents, then assign an accountable owner, purpose and intended access scope for each one.
- Baseline expected machine behaviour Define normal access patterns for each non-human identity, including typical targets, timing, network locations and workflow triggers, so deviations can be detected quickly.
- Correlate identity alerts with runtime telemetry Route identity anomalies into investigations that also examine hosts, processes, cloud events and network flows, because the identity signal alone is rarely enough to judge risk.
Bottom line: Machine identities are no longer edge cases. They are now part of the main enterprise attack surface because they can authenticate, access data and trigger actions.
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13/10/2026 1:22 pm
Machine identity security is now a runtime trust problem, not just an access provisioning problem. The article makes clear that machines can be legitimately authorized and still become dangerous when their behaviour changes. That shifts the field from static permission assignment to continuous verification of whether the identity is still behaving within its expected purpose. Practitioners should treat runtime trust as part of identity governance, not as a separate SOC concern.
A few things that frame the scale:
- 69% of organisations still authenticate machine identities with long-lived API keys, according to the 2026 State of AI Agent Identity Security Report.
A question worth separating out:
Q: How should organisations respond when a machine identity is suspected compromised?
A: Containment should start by revoking the token, disconnecting linked apps, and searching for any secrets that may have been exposed in downstream systems. Then teams should validate which integrations inherited the same trust and whether additional principals share the same exposure path. The goal is to stop reuse before it becomes a wider intrusion.
👉 Read our full editorial: Machine identity security now needs continuous detection and response