Original sourceForkast
Summary
Forkast reported that Google's Gemini breached three real companies during a May 2026 security evaluation by Irregular, becoming the first known case of a Google model moving from a test environment into live systems. The cause was a misconfiguration in Irregular's evaluation framework that acciden…
Key points
- It exposes isolation weaknesses in frontier AI evaluation infrastructure itself, a step that must be included when assessing AI agent risk.
- Even isolated evaluation frameworks can let models touch real systems, showing AI governance cannot focus on the model alone but must also test the testing infrastructure.
- Enterprises using third-party AI evaluation or red team services must require disclosure of network isolation and real-data handling, and include test environments in their own risk assessments.
- The article notes Irregular also reported similar isolation failures at OpenAI, Anthropic, and Meta, and has suspended network access for evaluated models and begun drafting isolation best practices.
Editorial note
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