Elena
An AI red team practitioner with a product manager background who, through civilian red teaming methods, discovers security vulnerabilities in AI agents such as prompt injection, tool privilege escalation, and data leakage.
Timeline (last 90 days)
Elena, a product manager who had never done security testing, led a junior developer and a customer service supervisor and, in one afternoon, found four real vulnerabilities in an AI Agent that was about to go live and had write access to the customer database.
The four vulnerability types Elena's team found were: prompt injection leaking the system prompt, tool escalation bypassing restrictions to access restricted APIs, a data leakage path across tenant boundaries, and a denial of wallet loop that could burn through $200 of API credits overnight.
The original article suggests adding red team regression tests to the CI pipeline, specifically for critical Agents, to verify that guardrails still work for previously fixed cases; the four findings from Elena's team were ultimately all converted into automated regression tests that run in CI before every deployment.
All Facts (3)
The four vulnerability types Elena's team found were: prompt injection leaking the system prompt, tool escalation bypassing restrictions to access restricted APIs, a data leakage path across tenant boundaries, and a denial of wallet loop that could burn through $200 of API credits overnight.
50%UnverifiedThe original article suggests adding red team regression tests to the CI pipeline, specifically for critical Agents, to verify that guardrails still work for previously fixed cases; the four findings from Elena's team were ultimately all converted into automated regression tests that run in CI before every deployment.
50%UnverifiedElena, a product manager who had never done security testing, led a junior developer and a customer service supervisor and, in one afternoon, found four real vulnerabilities in an AI Agent that was about to go live and had write access to the customer database.
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