AI Red Team Playbook
What This Requires
Develop and execute AI-specific red team scenarios: prompt injection, jailbreaking, data extraction, model inversion, and agent hijacking. Conduct annually or before major releases. Remediate high-severity findings.
Why It Matters
Static security testing misses creative attacks. Red teaming simulates real-world adversaries and uncovers edge cases. Findings drive hardening roadmap.
How To Implement
Define Scenarios
Create 5-10 attack scenarios: (1) prompt injection to leak data, (2) jailbreak to bypass content filters, (3) agent hijacking via tool manipulation, (4) model inversion to extract training data, (5) DoS via recursive prompts.
Assemble Team
Recruit internal security engineers or hire external AI red team consultants. Provide target system access (staging or isolated prod replica).
Execute & Document
Red team executes attacks over 1-2 weeks. Document successes (exploits found), failures (defenses held), and near-misses. Rate findings by severity (CVSS or internal scale).
Remediate
Fix high/critical findings before prod release. For medium/low, track in backlog with target fix date. Re-test fixes before closing.
Evidence & Audit
- Red team playbook with defined scenarios
- Engagement scope and rules of engagement
- Red team report with findings and severity ratings
- Remediation plan and completion records
- Re-test validation results