Red teaming your AI security controls reveals gaps that documentation and checklists miss.
Planning the Exercise
Define scope:
- Which AI systems to test
- What attack vectors to simulate
- What success criteria look like
Attack Scenarios
Scenario 1: Shadow AI Discovery
Objective: How quickly can the team identify unauthorized AI tool usage?
Scenario 2: Data Exfiltration
Objective: Can sensitive data be extracted through AI prompts?
Scenario 3: Policy Bypass
Objective: Can employees circumvent AI acceptable use policies?
Scenario 4: Prompt Injection
Objective: Can AI-integrated applications be manipulated?
Scoring
Rate defenses on:
- Detection time
- Response effectiveness
- Control bypass difficulty
- Recovery capabilities
Post-Exercise
Document findings, prioritize gaps, implement improvements, and schedule the next exercise. AI red teaming should be ongoing, not one-time.
Sarah leads security research at ZeroShare, focusing on emerging threats in enterprise AI adoption. With over a decade in cybersecurity and previous roles at major cloud providers, she specializes in data protection and threat modeling for AI systems.
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