Agent Scope Manifest

An agent scope manifest is a versioned description of what tools, destinations, and actions an AI agent is allowed to use. It gives security teams a concrete baseline for detecting scope deviation and for limiting the blast radius when model behaviour drifts or is manipulated.

Expanded Definition

An agent scope manifest is the authoritative record of an AI agent’s permitted tool set, target systems, action classes, and any explicit constraints on execution. In practice, it functions as a policy baseline for agent governance, helping teams compare intended behaviour with observed behaviour when the agent plans, calls tools, or chains actions across systems. The concept is still evolving across vendors, but the security need is clear: a manifest should be versioned, reviewable, and precise enough to support change control, monitoring, and incident response.

For NHIMG, the most useful way to think about this artefact is as a control boundary for agentic software, not as a simple configuration file. It is closely related to least privilege, but it is more specific because it describes not only access rights, but also the shape of allowed activity and the destinations an agent may reach. That makes it especially relevant when agents interact with secrets, APIs, SaaS platforms, and non-human identity workflows. The concept aligns well with the OWASP Top 10 for Agentic Applications 2026 and the governance focus of the NIST AI Risk Management Framework.

The most common misapplication is treating the manifest as a one-time design document, which occurs when teams fail to update it after tool changes, prompt changes, or new integrations.

Examples and Use Cases

Implementing an agent scope manifest rigorously often introduces operational friction, requiring organisations to balance agent agility against tighter approval and review cycles.

• A support agent is allowed to read tickets and draft responses, but not to send messages directly or export customer records unless the manifest is updated and approved.
• An internal coding agent may open pull requests and run tests, yet be blocked from accessing production secrets or deployment endpoints, reducing the blast radius if behaviour drifts.
• A finance agent can query approved ERP and reporting APIs, but cannot initiate payments, which is especially important when the agent is connected to non-human identities that hold API credentials.
• A security operations agent may triage alerts and enrich incidents, while its manifest explicitly denies lateral movement to identity directories, admin consoles, or mailbox rules.
• In higher-risk deployments, the manifest is compared against runtime traces to detect scope deviation, a pattern that maps well to MITRE ATLAS adversarial AI threat matrix analysis and to the CSA MAESTRO agentic AI threat modeling framework.

Teams also use manifests to document whether an agent may invoke other agents, reach external websites, or pass data into retrieval systems, especially when the workflow includes sensitive secrets or regulated records.

Why It Matters for Security Teams

An agent scope manifest matters because agentic systems fail differently from traditional software. A model can remain technically functional while quietly expanding its effective reach through prompt injection, tool misuse, overbroad delegation, or poorly governed updates. Without a clear manifest, security teams struggle to prove what the agent was supposed to do, what it actually did, and whether a given action exceeded approved boundaries. This is where identity security becomes material: if an agent operates through a non-human identity, the manifest becomes a practical control for constraining credential use, tool reach, and cross-system escalation. That makes it a strong fit with the OWASP Non-Human Identity Top 10.

Security teams should treat the manifest as evidence for governance, monitoring, and incident response, not merely as documentation. It should be reviewed whenever tools, permissions, model instructions, or destination systems change, and it should be paired with logs that show whether the agent stayed inside scope. Organisations typically encounter the real cost only after an agent touches an unapproved system, at which point the manifest becomes operationally unavoidable to determine containment and accountability.

Related resources from NHI Mgmt Group

• AI Agent Authentication
• What breaks when agent behaviour drifts beyond approved scope?
• Who is accountable when an AI agent acts outside its intended scope?
• How can organisations tell whether an AI agent is acting outside its intended scope?