How should security teams govern identities that behave differently at runtime than they were provisioned to behave?

Why This Matters for Security Teams

Governance fails when teams assume an identity’s provisioning state is the same as its runtime behaviour. That assumption works for stable human roles, but it breaks down for software identities, service accounts, and especially autonomous systems that can chain tools, request new scopes, and change what “normal” looks like from one execution to the next. The control problem is no longer just access approval, it is continuous validation of what the identity is actually doing.

This is why NHI programs increasingly focus on lifecycle oversight and observed access paths, not just entitlements. NHIMG’s Ultimate Guide to NHIs notes that 97% of NHIs carry excessive privileges and 71% are not rotated within recommended time frames, which compounds the gap between approved scope and actual use. NIST’s Cybersecurity Framework 2.0 reinforces that identity governance must be tied to ongoing risk management, not periodic paperwork.

In practice, many security teams encounter this only after a service account, API key, or agent has already accessed data paths that were never part of the original approval.

How It Works in Practice

The practical answer is to treat runtime behaviour as a control signal of its own. Provisioning defines the starting trust boundary, but authorization must be re-evaluated at request time using context such as workload, purpose, environment, target resource, and recent behaviour. That means teams need policy that can adapt as the identity changes, rather than static RBAC alone. For autonomous agents, this is even more important because the agent’s goals, tool calls, and sequencing can evolve during execution.

A workable model usually combines four elements. First, short-lived credentials or tokens should be issued just in time for a task and revoked when the task ends. Second, workload identity should prove what the agent or service is cryptographically, rather than relying on a long-lived secret. Third, policy evaluation should happen in real time through policy-as-code, so a request can be allowed, denied, or constrained based on current context. Fourth, telemetry must be retained long enough to reconstruct the observed access path when behaviour diverges.

• Use JIT credentials for tasks that do not require persistent access.
• Bind identity to workload proof such as OIDC-backed workload assertions or SPIFFE/SPIRE style identity primitives.
• Separate approved entitlement from observed activity in logs and reviews.
• Escalate when an identity begins chaining tools, widening scope, or touching resources outside its intent.

The Top 10 NHI Issues research is useful here because it frames excessive privilege, poor rotation, and weak visibility as structural control failures rather than isolated mistakes. Current guidance suggests that runtime governance works best when tied to NIST CSF 2.0 functions for continuous detection and response, but there is no universal standard for exactly how much behavioural drift should trigger automatic revocation.

These controls tend to break down when legacy applications require embedded long-lived secrets because the identity cannot be reissued per task without redesigning the calling pattern.

Common Variations and Edge Cases

Tighter runtime governance often increases operational overhead, requiring organisations to balance stronger containment against workflow stability and engineering effort. That tradeoff becomes visible in systems that were built around persistent service accounts, shared API keys, or vendor integrations that cannot easily support short-lived tokens.

One common edge case is the difference between benign drift and dangerous drift. A batch job may query more records than usual without being malicious, while an autonomous agent may do the same because it inferred a broader path to its goal. Best practice is evolving toward context-aware exception handling, but there is no universal standard for what “acceptable deviation” means across all environments. Security teams should define thresholds by workload class, data sensitivity, and blast radius.

Another edge case is third-party and OAuth-connected tooling. NHIMG notes that visibility into these connections is often incomplete, which means runtime divergence may go unnoticed until after exfiltration or privilege expansion. In those environments, governance must include vendor review, token scope minimization, and review of observed access paths as part of offboarding and incident response. The Lifecycle Processes for Managing NHIs section is especially relevant for building those reviews into operational practice.

For agentic systems, current guidance suggests pairing real-time policy with human review for high-impact actions, especially where tool chaining can cross trust boundaries faster than a human operator can intervene.

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?