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Agentic AI & Autonomous Identity

How do security teams know whether a Skill is operating outside its intended boundary?

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By NHI Mgmt Group Editorial Team Updated November 2, 2026 Domain: Agentic AI & Autonomous Identity

Look for unexpected tool calls, commands that were not part of the approved workflow, unusual access to secrets or files, and divergence between the user request and the agent’s executed steps. If the workflow can trigger actions the owner did not explicitly authorise, the Skill boundary is not well controlled.

Boundary signals show up in execution, not in intent

The clearest indicator that a Skill has crossed its intended boundary is a mismatch between what the user asked for and what the agent actually did. Security teams should watch the runtime trail: tool invocations that were not part of the approved workflow, commands issued without an obvious user prompt, and reads or writes to files and secrets that the Skill does not need for the task.

A boundary issue is not just “unexpected output”, it is unexpected authority. If a Skill can reach data, credentials, or execution paths that were not explicitly scoped, the control problem is usually in the skill definition, the tool allowlist, or the orchestration layer, not just in the prompt.

One practical way to inspect that boundary is to compare the approved Skill design against what the runtime actually allowed. NHIMG’s Agent Skills Security Guide is useful here because it focuses on scoping, allowed tools, and review points for agent skills.

What “outside boundary” usually means in practice

In operational terms, a Skill is outside boundary when it starts behaving like a broader agent than the one the owner intended. That can mean it chains tools in a way the workflow never approved, requests secrets as a side effect, or executes a follow-on action that should have required a separate human decision. The boundary can also be breached when the skill’s instructions are too open-ended and the agent fills in missing steps on its own.

Teams should treat divergence as a control failure even when the result looks helpful. A workflow that succeeds by taking unauthorised shortcuts is still unsafe, because the next shortcut may expose a secret, alter a production system, or reach data the operator never meant to expose.

For skills that are packaged, shared, or reused across teams, review the skill’s provenance and update path as well as its runtime behaviour. Malicious or overbroad skill content can be introduced long before anyone sees a suspicious command sequence.

How teams prove the boundary is being respected

The best evidence is a trace that shows each action was both expected and necessary. That means logging tool calls, arguments, file access, and secret access in a way that can be reconciled against the approved workflow. If the observed steps cannot be mapped back to the task definition, the control is too loose.

  • Compare planned steps with executed steps and flag any extra branches.
  • Check whether the Skill can invoke tools that were never granted in its design.
  • Review whether secret access is tied to a specific needed action, not broad runtime convenience.
  • Validate that any escalation, data export, or side-effecting command requires an explicit decision point.

When this review is done well, the team can distinguish normal autonomy from unsafe drift. When it is done poorly, every unusual action looks like a false positive until a real boundary break is missed.

NHIMG’s Vulnerability Severity and Bug Bar Guide for Development Teams is a good companion reference for setting clear release or deployment thresholds around boundary-breaking behaviour.

Risk and Threat Considerations

Boundary failures matter because they often turn a narrow workflow into an unconstrained execution path. The risk is not only data exposure, but also unintended action, especially where a Skill can touch secrets, invoke privileged tools, or modify downstream systems without a fresh human check.

Failure mechanism: The Skill inherits more authority than the task requires, then uses that authority to access secrets, issue commands, or complete side effects that the owner never explicitly authorised.

Impact: Attackers or careless prompt design can turn a convenient workflow into a path for secret exposure, unauthorised system changes, or lateral movement through connected tools and files.

For a broader control baseline, the NIST SP 800-53 Rev 5 Security and Privacy Controls catalogue is relevant because this problem depends on access control, auditability, and system integrity.

The OWASP Agentic Skills Top 10 (AST10) is also directly relevant because it frames skill-layer risks such as malicious skills, permission inheritance, and credential exposure through agentic skill chains.

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, OWASP Agentic AI Top 10 and OWASP API Security Top 10 address the attack and risk surface, while NIST SP 800-53 Rev 5 sets the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-02 — Secret LeakageSkills that read secrets outside scope create direct secret exposure risk.
Recommendation — Restrict secret access to the minimum workflow steps that truly need it.
OWASP Agentic AI Top 10ASI03 — Identity & Privilege AbuseBoundary breaks often involve excess tool authority or unintended privilege use.
Recommendation — Constrain agent privileges and audit every high-impact action.
NIST SP 800-53 Rev 5AU-6 — Audit Record Review, Analysis, and ReportingUnexpected tool calls and step divergence require reviewable audit trails.
AC-6 — Least PrivilegeThe question is fundamentally about limiting a Skill to intended access and actions.
Recommendation — Review execution logs for actions that deviate from the approved workflow. Limit each Skill to the minimum tools, files, and secrets required.
OWASP API Security Top 10API5 — Broken Function Level AuthorizationIf a Skill can invoke functions beyond its intended workflow, authorization is broken.
Recommendation — Authorize each sensitive function separately instead of trusting the caller context.

Practitioner Guidance

What to verify: Start with the question “could this Skill have made the same decision without this tool, secret, or file?” If the answer is no, the tool or access path should be treated as boundary-sensitive and reviewed before the Skill is trusted in production.

Decision rule: If the workflow can trigger side effects outside a tightly approved sequence, require a human-checked approval point for the sensitive step, not just for the initial request. If the Skill needs broad tool access to be useful, constrain its scope rather than assuming monitoring alone will catch drift.

Practitioner takeaway: Boundary assurance is a runtime question, not a design claim, and the strongest signal is whether every executed step can be justified by the approved workflow and the minimum access needed to complete it.

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NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on November 2, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org