A response that tells the caller a tool invocation has been accepted for processing but not yet executed. In gateway approval flows, this state is the signal that a human decision is pending, and callers must handle it explicitly rather than treating it as failure.
Expanded Definition
Pending Result is a response state used when a tool request has been accepted for processing but not yet completed. In NHI and agentic AI workflows, it separates “received” from “executed,” which matters because the caller must continue tracking state rather than assuming success, retrying blindly, or treating the response as an error.
Definitions vary across vendors, but the operational idea is consistent: the system has acknowledged the request and deferred completion. That is especially important in human-in-the-loop gateway approval flows, where a NIST Cybersecurity Framework 2.0 style control expectation would favour explicit state handling, traceability, and bounded retries. In practice, Pending Result is a workflow contract, not a permission grant and not a final outcome.
It is often confused with queueing, timeout handling, or a soft failure, but those are different states with different operator actions. The most common misapplication is treating Pending Result as a transient success signal and immediately proceeding as if the tool output already exists, which occurs when orchestration logic does not preserve async state.
Examples and Use Cases
Implementing Pending Result rigorously often introduces additional orchestration overhead, requiring organisations to weigh clearer control over execution against the cost of more complex state tracking and callback handling.
- A gateway reviews an AI agent’s request to rotate a high-value API key; the platform returns Pending Result until a human approver accepts or rejects the action.
- An internal ticketing integration submits a privileged tool call and receives Pending Result while the security workflow records the request for audit and later confirmation.
- A workflow engine pauses a deployment step after invoking a secrets manager action, using Pending Result to keep the caller from advancing prematurely.
- Operational teams correlate the pending state with approval latency and alerting, using guidance from the Ultimate Guide to NHIs to keep NHI actions visible across the lifecycle.
- In a federated agent environment, a service account request may stay pending until policy checks complete, aligning the call pattern with the same explicit lifecycle discipline described in Ultimate Guide to NHIs and with NIST Cybersecurity Framework 2.0 expectations for controlled execution.
Why It Matters in NHI Security
Pending Result matters because approval and execution are not the same thing. If the state is not handled explicitly, an agent can duplicate requests, operators can miss a blocked high-risk action, and audit trails can become misleading about what actually happened. That confusion is especially dangerous for privileged workflows where timing, approver identity, and final disposition all affect downstream access.
NHI governance is already burdened by visibility gaps and weak lifecycle discipline. NHIMG reports that only 5.7% of organisations have full visibility into their service accounts, which means a pending state can easily disappear into noisy logs instead of becoming a monitored control point. The same operational blind spots are why the Ultimate Guide to NHIs is so focused on lifecycle visibility, rotation, and offboarding, while NIST Cybersecurity Framework 2.0 reinforces the need for tracked, verifiable response handling.
Organisations typically encounter the consequences only after a delayed approval, duplicate tool call, or failed escalation has already altered access state, at which point Pending Result 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, CSA MAESTRO and OWASP Non-Human Identity Top 10 address the attack and risk surface, while NIST CSF 2.0 and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Agentic AI Top 10 | Covers agent tool execution states and the need to manage deferred actions safely. | |
| CSA MAESTRO | Agentic security patterns include explicit orchestration and human approval checkpoints. | |
| NIST CSF 2.0 | PR.AC | Identity and access control depends on clear, auditable execution state for privileged requests. |
| NIST AI RMF | AI risk management requires traceable handling of deferred and human-reviewed actions. | |
| OWASP Non-Human Identity Top 10 | NHI-07 | NHI governance depends on safe execution and explicit handling of privileged automation states. |
Design workflows to preserve pending states and require explicit continuation after review.
