DevOps AI agents operate with some of the most powerful access in an organization. They can deploy code, modify infrastructure, access production databases, and manage cloud resources. A safety failure here can cause outages, data loss, or security breaches affecting every customer.
A DevOps agent typically has access to: CI/CD pipelines, cloud provider APIs, container orchestration, database administration, DNS management, and secrets management. Each of these is a blast radius multiplier. An agent that can modify a Terraform state file can destroy an entire infrastructure stack in seconds.
Blast radius limits. Define maximum scope for each operation. An agent should be able to scale a service from 3 to 5 replicas but not from 3 to 500. It should be able to deploy to staging but require approval for production.
Change management gates. Authensor's approval workflows require human confirmation for high-impact changes. Configure gates for: production deployments, database migrations, DNS changes, security group modifications, and IAM policy changes.
Dry-run requirements. Policy rules can require that destructive operations run in dry-run mode first. The agent presents the planned changes, gets approval, then executes.
Agents with database access need the strictest controls. Define policies that: block DDL operations (DROP, TRUNCATE, ALTER) without explicit approval, limit DELETE and UPDATE queries to include WHERE clauses, cap the number of affected rows, and require backups before schema changes.
DevOps agents often need access to secrets for deployment. Never give agents direct access to production secrets. Use a vault integration where the agent requests temporary, scoped credentials for specific tasks.
Configure automatic rollback triggers. If a deployment causes health check failures, the agent should be authorized to rollback without waiting for human approval. Define these emergency policies separately from normal operation policies.
Every infrastructure change must be traceable. Authensor's receipt chain records what changed, who (or which agent) initiated it, what policy authorized it, and when. This audit trail integrates with your change management process and incident review workflow.
Track agent operations against infrastructure baselines. Alert on: changes during non-business hours, operations on production without a corresponding staging operation, and repeated failed operations that might indicate a confused or compromised agent.
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