How do I red team AI agents before production deployment?

Red teaming AI agents means systematically testing them with adversarial inputs, prompt injections, and edge cases before deployment — attempting to make them fail in every way possible so you can fix vulnerabilities before attackers find them.

An effective AI agent red team process:

1. Prompt injection testing: Attempt to override system prompts through user inputs, tool responses, and retrieved documents
2. Privilege escalation: Test whether the agent can access resources beyond its intended scope
3. Data exfiltration: Attempt to make the agent send sensitive data to external endpoints
4. Destructive operations: Test database deletions, file system modifications, and irreversible API calls
5. Multi-step attacks: Chain benign-looking actions that individually pass validation but collectively cause harm
6. Rate exhaustion: Test whether the agent can be tricked into consuming all available API quota

The Exogram Proving Ground is a free red teaming sandbox. Fire adversarial payloads at the same 8 deterministic policy gates used in production. See exactly which rules block which attacks. Test your own custom payloads. No signup required. The best governance is governance you can verify.