Modern QA2026Career Translation
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1.8Career Translation

Resume phrasing

  • Mapped the dual attack surface of AI-powered applications, identifying 10+ AI-specific vulnerability classes beyond traditional OWASP Top 10 coverage.
  • Developed security testing strategy aligned with the OWASP LLM Top 10 framework, ensuring continuous coverage of prompt injection, jailbreaking, data leakage, and model theft vectors.
  • Classified threat actors by sophistication and motivation to prioritize security test coverage, reducing untested high-risk scenarios by 80%.

Cover letter framing

AI applications introduce an attack surface that traditional security testing does not address. I bring the ability to identify and test both classic web vulnerabilities and AI-specific threats -- prompt injection, data leakage, RAG poisoning -- using the OWASP LLM Top 10 as the baseline framework. My approach treats AI security as a continuous discipline, not a one-time checklist, because new jailbreak techniques emerge weekly and the defense must evolve just as fast.

Interview framing

"I approach AI security by first acknowledging that every AI application is still a web application -- the traditional OWASP Top 10 still applies. But then I layer on the AI-specific threat surface: prompt injection, data leakage, jailbreaking, tool abuse. I optimize for continuous testing because the attack landscape changes weekly. Trade-offs include balancing depth of coverage against the speed of releasing new AI features, and accepting that no single defense fully solves prompt injection -- defense in depth is the only viable strategy."

What not to say

  • "We just need to write a good system prompt and the AI will be secure." -- A system prompt is a speed bump, not a wall; it can be bypassed.
  • "AI security is just regular security with a chatbot." -- This ignores the entire AI-specific attack surface (prompt injection, data leakage, RAG poisoning).
  • "We tested the AI once before launch, so we're covered." -- AI security requires continuous testing as new attack techniques emerge weekly.
  • "The model provider handles security for us." -- The provider secures the model; you secure the application around it.
  • "Our users wouldn't know how to do prompt injection." -- Curious users discover injection techniques daily; assuming ignorance is not a defense.
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