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Agentic AI & Autonomous Identity

Unjustified use

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By NHI Mgmt Group Updated August 20, 2026 Domain: Agentic AI & Autonomous Identity

Access that is technically permitted and actively exercised, but not tied to legitimate work. This is the hardest category to see in AI agents because the IAM layer records valid actions while the governance failure sits in the context that caused them.

Expanded Definition

Unjustified use describes a control-visible action that an agent, service account, or workload is allowed to perform, but that lacks a legitimate business purpose at the time it occurs. It is not the same as unauthorised access, because the permission may be valid and the identity may be authenticated; the problem is the absence of an acceptable operational reason. In NHI governance, that distinction matters because logs often show compliant execution while the actual failure sits in the prompt, workflow, or orchestration context that triggered it. Definitions vary across vendors, and no single standard governs this yet, so practitioners should treat unjustified use as a governance and intent problem rather than a pure IAM problem. The concept aligns closely with least privilege, purpose limitation, and zero trust principles reflected in the NIST Cybersecurity Framework 2.0, where access decisions must remain continuously appropriate to the task. It also connects to NHI lifecycle controls discussed in Ultimate Guide to NHIs.

The most common misapplication is treating any successful action as legitimate simply because the credential and permission set were valid when the action occurred.

Examples and Use Cases

Implementing unjustified-use detection rigorously often introduces context-collection overhead, requiring organisations to weigh stronger governance against added logging, policy enforcement, and review effort.

  • An AI agent has permission to read a customer record, but it does so during a conversation unrelated to that customer’s case, making the access technically allowed but operationally unjustified.
  • A CI/CD bot can retrieve production secrets, yet it fetches them during a non-deployment maintenance run, indicating valid privilege use outside approved change context.
  • A service account calls an internal billing API from an automation path that was never approved for finance data processing, even though the token is active and scoped correctly.
  • An orchestration workflow reuses a broad API key after its original task completed, which is a contextual misuse pattern often missed if teams only check authentication success.
  • NHIMG’s Ultimate Guide to NHIs highlights how NHI visibility and lifecycle gaps make these events difficult to spot, even when access logs look normal.

For identity context and operational guardrails, this concept is commonly paired with the access-governance logic in the NIST Cybersecurity Framework 2.0 and the broader expectations for NHI visibility in the NHI lifecycle.

Why It Matters in NHI Security

Unjustified use is a major blind spot because it can preserve the appearance of compliance while quietly expanding exposure, data handling risk, and lateral movement potential. NHIMG research shows that 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, and that statistic becomes more dangerous when teams only review whether access was permitted instead of whether it was warranted. The same pattern is amplified in environments where only 5.7% of organisations have full visibility into their service accounts, because weak visibility makes context-based misuse hard to distinguish from normal automation. Guidance in the Ultimate Guide to NHIs reinforces that governance failures often live in lifecycle and ownership gaps, not just in credential hygiene. Practitioners should use this term to drive reviews of agent intent, workload purpose, and approved execution windows, not just permission sets. Organisational teams typically encounter the consequences only after an audit, data incident, or agent abuse event, at which point unjustified use becomes operationally unavoidable to address.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

OWASP Non-Human Identity Top 10 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST SP 800-63 set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-04Addresses NHI misuse where valid access occurs without a legitimate operational need.
NIST CSF 2.0PR.AC-4Least-privilege access must remain appropriate to the task, not just technically allowed.
NIST Zero Trust (SP 800-207)SC-7Zero Trust requires continuous verification of access context and purpose, not one-time approval.
NIST SP 800-63Digital identity assurance informs trust in the identity, though not the legitimacy of each action.
OWASP Agentic AI Top 10A2Agentic systems can execute permitted actions outside the intended task boundary.

Track NHI actions back to business purpose and flag valid-but-unwarranted executions for review.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on August 20, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org