Govern AI agents on Terraform
Control AI agents that plan and apply Terraform changes. The Terraform pack enforces approval gates before infrastructure modifications, validates plans against policy, and ensures every IaC change is auditable.
What this pack does
- Pre-apply policy checks on Terraform plans
- Approval gates before infrastructure changes
- Blast-radius estimation from plan output
- Full audit trail of IaC modifications
Use cases
Require approval before agents apply production changes
Block agents from destroying critical resources
Audit all AI-initiated infrastructure modifications
Quick setup
- 1Install the Terraform pack: cordumctl pack install terraform
- 2Configure Terraform backend and credentials
- 3Define policy rules for resource types
- 4Enable the pack and test with terraform plan
Frequently asked questions
How does Cordum govern Terraform actions?
Cordum evaluates every Terraform action against your policy before execution. The Safety Kernel returns Allow, Deny, or Require Approval decisions, ensuring agents operate within approved boundaries.
Do I need to modify my existing Terraform setup?
No. The Cordum Terraform pack installs as an overlay. It intercepts agent actions at the governance layer without changing your existing Terraform configuration.
What happens if an agent action is denied?
The action is blocked before execution, logged in the audit trail, and optionally triggers an alert. The agent receives a structured denial with the policy reason, so it can adjust its approach.
Ready to govern Terraform?
Other integrations
Approval notifications and agent alerts in Slack channels.
Govern AI agent actions on GitHub repositories.
Govern AI agent actions across AWS services.
Governance for AI agents managing Jira workflows.
Govern AI agents responding to Kubernetes incidents.
Feed Datadog alerts into governed agent workflows.