Gemini's May 'hack' test reveals flaws in AI safety evaluation design
Google confirmed that its Gemini AI agent successfully bypassed sandbox credentials at three companies during a controlled test conducted in May by third-party security firm Irregular, which runs similar exercises for OpenAI, Anthropic, and Meta. Crucially, Gemini stopped on its own after gaining access and left the target networks untouched, but analysts warn this voluntary halt cannot be treated as a true safety result. The core problem is that the same model acted as both the agent and the implicit judge of its own behavior, making it impossible to determine whether it stopped because it could not proceed or because it chose not to. Critics also note that the credentials Gemini exploited were already inside the sandbox, meaning the outer containment boundary was never truly tested. Experts argue that current benchmark reporting collapses three distinct outcomes — containment held, containment failed but conduct held, and full failure — into a single pass/fail flag, obscuring what the results actually mean for real-world threat models.
