Interrupt and resume is a workflow pattern that pauses an AI agent during execution, sends the pending action to a human reviewer, and continues only after a decision is made. It is commonly used for approvals, exception handling, and other moments where the agent should not proceed autonomously.
Expanded Definition
Interrupt and resume is a human-in-the-loop control pattern for agentic systems: the agent stops at a decision point, submits the pending action for review, and continues only after approval, rejection, or revision. In NHI operations, it is most often applied when an agent has tool access but the action carries material risk, such as changing privileges, moving data, or triggering external side effects.
Definitions vary across vendors, especially when platforms label any checkpoint as an interruption. NHI Management Group uses the term more narrowly: the pause must occur before execution, the human must have a real decision role, and the resumed action must preserve the original intent or record the reason for change. That makes it distinct from audit logging, async queueing, or simple timeout recovery. The control also sits alongside governance practices described in the Ultimate Guide to NHIs and aligns conceptually with NIST Cybersecurity Framework 2.0 expectations for risk-managed action.
The most common misapplication is treating interrupt and resume as a post-execution notification, which occurs when the agent is allowed to complete the sensitive action before a reviewer sees it.
Examples and Use Cases
Implementing interrupt and resume rigorously often introduces latency and operational friction, requiring organisations to weigh safety and accountability against throughput and automation speed.
- An AI agent preparing to grant a new service account role pauses until a reviewer confirms the access level is justified.
- A remediation agent detects an exposed secret and requests approval before revoking credentials that may still be required by a live integration.
- A workflow agent reaches an unusual data export request and waits for human confirmation before sending records outside the system boundary.
- A provisioning agent is interrupted when it detects privilege escalation beyond policy, then resumes only after a security reviewer adjusts the request.
- A change-management agent submits a proposed rotation of production API keys, allowing a reviewer to time the change around maintenance windows.
These cases are useful because they preserve agent speed for routine steps while inserting human judgment at high-risk transitions. The pattern is especially relevant in service account governance, where NHI Management Group reports that 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation. The same governance logic is echoed in the Ultimate Guide to NHIs, particularly where approval, rotation, and offboarding decisions need explicit oversight.
Why It Matters in NHI Security
Interrupt and resume matters because autonomous execution becomes dangerous when an agent can act on secrets, privileges, or external integrations without a second set of eyes. In practice, it reduces the chance that a compromised prompt, incorrect policy, or malformed tool call turns into an immediate breach. It is especially valuable when service accounts already have broad access and the action cannot be safely reversed after the fact. The NHI Management Group dataset shows that 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, which makes pre-execution review far more important than after-the-fact detection. That risk context is consistent with the governance direction in NIST Cybersecurity Framework 2.0 and the NHI lifecycle emphasis in the Ultimate Guide to NHIs.
Organisations typically encounter the need for interrupt and resume only after an agent makes an unsafe change, at which point controlled re-execution 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 Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | Agentic systems need human approval gates before high-impact tool actions. | |
| OWASP Non-Human Identity Top 10 | NHI-07 | Approval checkpoints support safer execution of privileged non-human identities. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege and access review principles support controlled execution approvals. |
| NIST Zero Trust (SP 800-207) | Zero Trust assumes continuous verification before granting sensitive actions. | |
| NIST AI RMF | Human oversight is a core AI risk treatment for consequential actions. |
Insert human review into AI decision paths that can materially affect security or operations.
Related resources from NHI Mgmt Group
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Reviewed and updated by the NHIMG editorial team on September 1, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org