An approval policy is a governance rule that requires one or more human reviews before an infrastructure change can execute. In Terraform workflows, it adds a control point before apply runs, helping teams slow down risky changes and keep high impact modifications visible and accountable.
Expanded Definition
An approval policy is a governance control that sits between change proposal and execution. In infrastructure automation, it requires a human reviewer to validate a planned change before the system is allowed to apply it, so the policy acts as a deliberate pause rather than a technical failure control. It is often used for high-impact changes, sensitive environments, or workflows where blast radius is hard to judge from code alone.
The term is narrower than general change management because it focuses on the permission to execute a specific run, not the whole lifecycle of design, testing, or release. It is also different from peer review in a pull request, because a code review can approve the repository change without authorising the live infrastructure action. Guidance is consistent that approval policies should be tied to material risk, while consensus is less settled on exactly how many approvers or which roles are always required.
For broader control context, NIST Cybersecurity Framework 2.0 frames approval as part of governance and change accountability rather than as a standalone security feature.
Examples and Use Cases
Approval policies show up wherever an organisation wants automation speed without losing human accountability for consequential changes.
- A cloud platform team requires approval before Terraform can expand production network security groups or routing.
- A security engineering group uses policy gates for changes that touch identity providers, key vaults, or logging pipelines.
- A regulated business adds an approval step for modifications to shared infrastructure modules that many applications inherit.
- An operations team requires a reviewer when the planned change affects availability-sensitive components, such as load balancers or databases.
- A platform owner uses different approval thresholds for lower-risk development environments versus production release paths.
The main tradeoff is speed versus assurance. Fewer approval gates make deployment faster, but they reduce the chance that a human will notice an unsafe change before it reaches a live environment.
Security Implications
Approval policies reduce the risk that a single engineer, automated process, or compromised workflow can push a high-impact change straight into production. They are especially valuable when the impact of a change is not obvious from the diff alone, such as permission broadening, network exposure, or deletions that affect resilience.
When approval is weakly designed, the control becomes ceremonial. If approvers are not independent, if reviewers lack the context to judge impact, or if policy exceptions are common, the organisation still has a fast path to unsafe change. That can lead to misconfigurations, service disruption, over-permissive access, or hidden drift between intended and actual state.
A common practitioner observation is that approval policies fail quietly when teams treat them as a checkbox rather than a decision point. In those cases, the process adds delay but not meaningful scrutiny.
Domain and Governance Relevance
In infrastructure governance, approval policy is one of the clearest ways to separate code authorisation from runtime authorisation. That distinction matters because infrastructure-as-code can be versioned, reviewed, and merged long before it is applied, and the final execution step is where real exposure begins.
In identity-adjacent environments, approval becomes more important when a change can alter trust boundaries, service access, or administrative reach. For that reason, approval policy often sits alongside change ownership, segregation of duties, and release accountability rather than replacing them. It is strongest when the approver understands the operational consequence of the change, not merely the syntax of the configuration.
For NHI-heavy environments, the same logic applies to machine credentials, service integrations, and agent permissions. An approval gate is not a substitute for least privilege, but it can prevent a risky machine-facing change from being executed without visible human oversight.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 address the attack surface, NIST CSF 2.0 and CIS Controls v8 set the technical controls, and DORA and NIS2 define the regulatory obligations.
| Framework | Control / Reference | Relevance |
|---|---|---|
| NIST CSF 2.0 | GV.SC — Cybersecurity Supply Chain Risk Management | Approval policies govern high-impact change paths and execution trust. |
| Recommendation — Apply change approval to high-impact infrastructure updates and enforce accountable review before execution. | ||
| CIS Controls v8 | 6 — Access Control Management | Approval gates help prevent unauthorized or excessive infrastructure changes. |
| Recommendation — Require approval for privileged changes and limit who can authorize production-impacting actions. | ||
| DORA | ICT change and incident governance — ICT change and incident governance | Operational resilience governance depends on controlled approval for material changes. |
| Recommendation — Treat approval policy as part of controlled ICT change governance for resilient operations. | ||
| NIS2 | risk management measures — Risk management measures | Material infrastructure changes need governed review under security risk controls. |
| Recommendation — Use approval controls to manage risk for changes that could affect essential service continuity. | ||
| OWASP Non-Human Identity Top 10 | NHI-01 — NHI Inventory and Ownership | Approval is relevant where machine identities or service access are changed through automation. |
| Recommendation — Gate NHI-related configuration changes so ownership and authorisation remain explicit before apply. | ||
Related resources from NHI Mgmt Group
- Who should own approval policy for autonomous agent actions, IAM or application teams?
- What is the difference between policy drafting and policy approval?
- What breaks when AI agents can make network policy changes without explicit approval?
- Why do approval based authorization patterns need to keep policy and workflow separate?
Deepen Your Knowledge
Reviewed and updated by the NHIMG editorial team on September 7, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org
