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24/06/2026 9:21 pm
TL;DR: CAASM and EASM each improve attack-surface visibility, but neither is sufficient on its own for non-human identities, which require lifecycle-aware governance across creation, use, monitoring, and termination, according to Entro Security. The practical issue is not visibility alone, but whether teams can track NHI scope, detect anomalies, and terminate access before exposure becomes abuse.
NHIMG editorial — based on content published by Entro Security: CAASM vs EASM: Managing Attack Surfaces
Questions worth separating out
Q: How should security teams govern non-human identities across CAASM and EASM tools?
A: Security teams should use CAASM and EASM as discovery inputs, not as the governance model itself.
Q: Why do non-human identities create more attack-surface risk than ordinary assets?
A: Non-human identities can authenticate, inherit privileges, and continue operating without a human sign-in event.
Q: What breaks when machine identities are inventoried without lifecycle data?
A: Inventory without lifecycle data produces false confidence.
Practitioner guidance
- Map every discovered NHI to an owner and retirement condition Do not accept inventory records without an accountable team, an explicit business purpose, and a decommission trigger for each service account, key, token, or certificate.
- Join EASM findings to identity context before triage Correlate externally exposed assets with the identities they use, then check whether those identities have standing privilege, weak rotation, or missing offboarding evidence.
- Use CAASM to find internal NHI blast radius Trace which cloud services, APIs, and workloads can be reached by each machine identity so remediation can focus on the highest-impact trust paths.
What's in the full article
Entro Security's full blog covers the operational detail this post intentionally leaves for the source:
- A side-by-side explanation of CAASM and EASM scope boundaries for different asset types
- Operational guidance on where NHI lifecycle controls fit into discovery and remediation workflows
- The vendor's recommended approach for integrating multiple sources into a dedicated NHI platform
- Examples of how attack-surface visibility can support risk prioritisation across cloud and hybrid estates
👉 Read Entro Security's CAASM vs EASM analysis for NHI governance →
CAASM vs EASM for NHIs: is your attack-surface view complete?
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25/06/2026 6:31 am
Attack-surface management stops short of identity governance when it treats NHIs as assets instead of actors. CAASM and EASM can identify where risk lives, but NHI governance must answer what the identity can do, who owns it, and how long it should exist. That shift matters because a service account with valid access is not just an exposed object, it is a live authorisation pathway. Practitioners should treat discovery as the front end of governance, not the endpoint.
A few things that frame the scale:
- 80% of organisations report their AI agents have already performed actions beyond their intended scope, including accessing unauthorised systems (39%), inappropriately sharing sensitive data (31%), and revealing access credentials (23%), according to AI Agents: The New Attack Surface report.
- Only 52% of companies can track and audit the data their AI agents access, leaving 48% with a complete blind spot for compliance and breach investigation, according to the same report.
A question worth separating out:
Q: Which frameworks should guide NHI attack-surface governance?
A: OWASP NHI guidance, NIST Cybersecurity Framework, and zero trust principles provide the best alignment for attack-surface governance of machine identities. Together they support discovery, least privilege, monitoring, and lifecycle control. Use them to connect asset visibility with identity ownership and access reduction.
👉 Read our full editorial: CAASM vs EASM for NHI governance: what teams need to know
