Act and may_act claims are token fields used to record that delegation has occurred and to identify who is acting for whom. They help preserve provenance across hops by showing the current actor and the parties permitted to become actors later, instead of treating a forwarded token as unrestricted bearer access.
Expanded Definition
Act and may_act claims describe delegation in a way that is meaningful to downstream services, not just the original token issuer. The act claim identifies the current actor, while may_act identifies the party or parties permitted to become the actor later in a delegated chain. That distinction matters in NHI and agentic systems because a token can move across services, but authority should not silently expand as it moves.
In practice, these claims help preserve provenance across hops, especially when an agent calls another service on behalf of a user or when one NHI delegates work to another NHI under constrained authority. They are most useful when paired with strict audience validation, token lifetime limits, and server-side policy checks, since the claims themselves are signals rather than enforcement. Definitions vary across vendors and implementations, so no single standard governs this yet, but the operational intent is consistent: make delegation explicit and auditable. The most common misapplication is treating a forwarded token as unrestricted bearer access, which occurs when downstream services ignore the actor chain and rely only on token presence.
For broader identity control context, see NIST SP 800-53 Rev 5 Security and Privacy Controls.
Examples and Use Cases
Implementing act and may_act claims rigorously often introduces policy complexity, requiring organisations to weigh stronger delegation traceability against additional validation logic at each hop.
- An API gateway receives a token from an upstream agent and checks act to confirm which NHI is currently executing the request.
- A workflow engine uses may_act to allow only a designated downstream agent to continue a task after an approval step.
- A service mesh preserves actor provenance so an audit log can show the original requester, the intermediate NHI, and the final tool-calling agent.
- A delegated maintenance token lets a break-glass operator act for a service account for a short window without converting the token into open-ended bearer access.
- In a federated environment, a platform enforces that the downstream service only accepts tokens whose may_act claim matches the expected service identity.
For a real-world example of what goes wrong when delegated credentials are handled loosely, review the DeepSeek breach. In adjacent identity guidance, NIST SP 800-53 Rev 5 Security and Privacy Controls provides control language that supports provenance, least privilege, and authorization checks.
Why It Matters in NHI Security
Act and may_act claims are important because delegated NHI activity often looks legitimate right up until an incident review asks who actually initiated the action. Without explicit actor chaining, teams lose provenance across service hops, and incident responders cannot tell whether a tool invocation came from the intended agent, a substituted NHI, or a replayed token. That creates gaps in auditability, makes privilege creep harder to spot, and weakens trust in agent-to-agent workflows.
NHI Management Group research shows how fast exposed identity material can be abused: when AWS credentials are publicly exposed, attackers attempt access within an average of 17 minutes, and as quickly as 9 minutes in some cases, as reported in LLMjacking: How Attackers Hijack AI Using Compromised NHIs. That kind of speed is why delegated authority must be explicit, short-lived, and verifiable rather than implied by token possession alone. Organisaties typically encounter the limits of these claims only after a compromised token is replayed through multiple services, at which point actor provenance 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 Agentic AI Top 10 and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST SP 800-63 and NIST Zero Trust (SP 800-207) set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | A1 | Covers agent delegation paths and authorization risks in tool-using AI systems. |
| OWASP Non-Human Identity Top 10 | NHI-04 | Addresses token misuse and weak delegation controls for non-human identities. |
| NIST CSF 2.0 | PR.AC | Access control guidance requires least privilege and verified identity context. |
| NIST SP 800-63 | AAL2 | Assurance concepts map to controlling who may act on behalf of another identity. |
| NIST Zero Trust (SP 800-207) | JN.1 | Zero trust requires explicit verification for each access decision, including delegated ones. |
Treat act and may_act as authorization signals and enforce them with server-side policy checks.