How I Used Automated Red Teaming To Take My AI Agent from 6/9 Breaches to Zero
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Hands-on AI agent red teaming with concrete techniques, directly relevant to agent security and testing.
Automated red teaming using Strands Evals reduced AI agent breaches from 6/9 to zero by generating adversarial cases tailored to the agent's tools (bash, lookup_employee) and running multi-turn CrescendoStrategy attacks. The unprotected agent leaked AWS credentials via creative prompt escalation, but systematic testing across data_exfiltration, excessive_agency, and system_prompt_leak categories identified and patched vulnerabilities. The approach works with any agent framework but leverages Amazon Bedrock and Strands Agents for built-in evaluation features.