How should security teams govern machine identities separately from other NHI types?

Why This Matters for Security Teams

Machine identities should not be treated as a single bucket of “non-human identities.” Certificates, service accounts, API tokens, workload identities, and autonomous agents fail in different ways, rotate on different schedules, and require different revocation paths. If they share one policy set, security teams usually end up optimizing for the slowest or least mature identity type, which creates hidden exposure across the rest of the estate. NHI Mgmt Group research shows why this separation matters: lack of credential rotation is cited as the top cause of NHI-related attacks by 45% of organisations in The State of Non-Human Identity Security.

That finding aligns with broader guidance in Ultimate Guide to NHIs and the control discipline in NIST Cybersecurity Framework 2.0, which both emphasize ownership, visibility, and timely response. The practical issue is that a service account with standing privileges cannot be governed like a short-lived certificate or an agent that can chain tools and act on intent. In practice, many security teams encounter breach conditions only after a token, key, or agent permission has already been reused outside its intended boundary, rather than through intentional design.

How It Works in Practice

Security teams should create a dedicated machine identity domain with separate inventory, owners, policy rules, and lifecycle workflows. That means distinct handling for certificates, secrets, service accounts, workload identities, and agent identities instead of one shared “NHI” process. The operational model should start with classification: what the identity is, what it can reach, how it authenticates, what expires, and what must be revoked immediately if misuse is detected. From there, apply controls that fit the identity type, not the platform of origin.

For most machine identities, the practical baseline is least privilege, strong issuance governance, and rotation that matches risk. For workloads and agents, current guidance suggests moving toward just-in-time credentials, ephemeral secrets, and workload identity primitives that prove what the entity is at runtime rather than relying only on static credentials. That approach is consistent with the lifecycle framing in Ultimate Guide to NHIs and with Zero Trust thinking in NIST Cybersecurity Framework 2.0.

• Use separate owners for certs, tokens, service accounts, and agent permissions.
• Enforce different TTLs and rotation triggers by identity class.
• Require runtime approval or policy checks for higher-risk actions.
• Revoke by dependency chain, not just by asset name, when identities are embedded in pipelines or apps.

Visibility is the other non-negotiable control. Only 5.7% of organisations have full visibility into service accounts, and only 20% have formal processes for offboarding and revoking API keys, according to Ultimate Guide to NHIs. Those gaps are often exposed first in incidents such as the JetBrains GitHub plugin token exposure, where token handling and dependency sprawl turn routine access into blast radius. These controls tend to break down when identities are created automatically inside CI/CD, because ownership, inventory, and revocation become distributed across tooling that was never designed for fast credential cleanup.

Common Variations and Edge Cases

Tighter separation of machine identities often increases operational overhead, requiring organisations to balance stronger containment against developer friction and service uptime. That tradeoff is real, especially when legacy applications hard-code credentials or use shared service accounts that cannot be refactored quickly. Best practice is evolving here: there is no universal standard for every platform, but the direction is clear toward shorter-lived access, explicit ownership, and automated expiry.

Edge cases usually involve hybrid estates. A certificate-backed workload in Kubernetes, a database service account, and an AI agent with tool access should not share the same governance path, even if all three are technically “machine identities.” Autonomous agents are the clearest example of why static RBAC alone is insufficient: their behaviour is goal-driven, they may invoke multiple tools in sequence, and they can expand reach faster than a human-approved access model can react. For that reason, the relevant controls increasingly include context-aware authorisation, real-time policy evaluation, and JIT credential issuance rather than standing access.

For teams wanting a deeper baseline on identity classes and failure patterns, Top 10 NHI Issues and the breach analysis in 52 NHI Breaches Analysis are useful reference points. They reinforce the same operational lesson: separate governance only works when the policy model is specific enough to match how each identity type is actually created, used, and revoked.

Related resources from NHI Mgmt Group

• How should security teams govern non-human identities at scale?
• How should security teams govern non-human identities for compliance?
• How should security teams govern non-human identities in Salesforce?
• How should security teams govern non-human identities that have persistent access?