A step-by-step description of the actions a system intends to perform before it runs them. In identity operations, the plan is the main governance artefact because it shows which identities, capabilities, and tools will be touched before approval is granted.
Expanded Definition
An execution plan is the pre-run description of what an autonomous system, agent, or workflow intends to do before any action is taken. In NHI operations, it is more than a queue of tasks: it is a governance artefact that exposes the identities, tokens, API keys, certificates, and tools that will be exercised, along with the order and conditions of execution.
Definitions vary across vendors, especially when execution plans are mixed with prompts, workflows, or policy bundles. In NHI Management Group usage, the term is intentionally narrow: the plan is the inspectable intent layer, while execution is the runtime act that consumes that intent. That distinction matters because approval, simulation, policy checks, and audit review can occur before a plan touches production privileges. For governance and control mapping, this aligns closely with the risk-based planning mindset reflected in the NIST Cybersecurity Framework 2.0, even though no single standard governs execution plans yet.
The most common misapplication is treating a runtime log as the execution plan, which occurs when organisations inspect actions only after an agent has already used privileged credentials.
Examples and Use Cases
Implementing execution plans rigorously often introduces review and simulation overhead, requiring organisations to weigh faster automation against stronger pre-execution control.
- An AI agent proposes a patching sequence that will call a ticketing API, a secrets manager, and a cloud control plane. The plan is reviewed to confirm that the service account has only the minimum scopes needed.
- A CI/CD pipeline prepares to rotate a certificate and restart dependent services. The execution plan shows which NHI will authenticate to each system before any change is approved.
- A support automation workflow wants to read logs, open a case, and notify Slack. The plan is checked so the tool access pattern matches policy, not just the intended business outcome.
- A privileged remediation agent drafts an offboarding sequence for stale API keys. The plan is compared with policy to ensure revocation, validation, and rollback steps happen in the correct order, consistent with guidance in the Ultimate Guide to NHIs.
- An autonomous investigation agent prepares to query identity telemetry and create containment actions. The execution plan is validated before the agent can touch production entitlements or cross-tenant data.
In practice, execution plans are most useful when they are machine-readable enough for policy engines, yet human-readable enough for operators to understand the blast radius before approval.
Why It Matters in NHI Security
Execution plans are central to NHI security because they reveal privilege use before the system acts. That visibility helps prevent overreach, secret misuse, and tool chaining that would otherwise be invisible until after damage occurs. It also enables separation of intent from effect, which is critical when autonomous software can move faster than a human reviewer. This matters in environments where NHI sprawl is already severe: NHI Mgmt Group reports that NHIs outnumber human identities by 25x to 50x in modern enterprises, and 97% of NHIs carry excessive privileges, increasing unauthorised access and broadening the attack surface, as documented in the Ultimate Guide to NHIs.
Used properly, execution plans support least privilege, approval workflows, and pre-flight detection of dangerous combinations such as a privileged token plus an untrusted tool. They also give incident responders a way to reconstruct intent when an agent behaves unexpectedly. The concept becomes operationally unavoidable after an agent has already rotated secrets, deleted resources, or called systems it was never meant to touch, at which point the missing execution plan is what turns a contained event into a difficult forensic problem.
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 AI guidance focuses on pre-execution control of tool use and action intent. | |
| OWASP Non-Human Identity Top 10 | NHI-02 | Execution plans expose where secrets and privileged identities will be used. |
| NIST CSF 2.0 | PR.AC-4 | Least-privilege access aligns with validating planned actions before execution. |
| NIST Zero Trust (SP 800-207) | Zero Trust requires explicit verification before granting access to each action path. | |
| NIST AI RMF | AI risk management emphasises documenting and governing intended system behaviour. |
Assess the intended action sequence for risk before deployment and monitor deviations at runtime.
