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sanitizers

AI security interview questions tagged sanitizers, across every topic.

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Concepts behind "sanitizers"

Explanations of the mechanisms these questions rely on.

Foundational
Application Security
AI Vulnerability Discovery and RemediationAI systems such as Google's Big Sleep and CodeMender, Anthropic's Mythos-class models, OpenAI's Codex Security and Microsoft's MDASH find vulnerabilities by ranking code, forming specific hypotheses and confirming them with an oracle (a sanitizer crash, a proof of concept, a failing test), then propose patches that must be validated beyond the scanner: the trigger stops, tests pass, fuzzing stays clean and a human confirms the root cause. Results are strongest for memory-safety bugs, weakest for logic and authorisation, and the bottleneck has moved from finding bugs to verifying, disclosing and fixing them.
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