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Agent Benchmarking

29 summarised stories about Agent Benchmarking, each linking back to the original source. Browse all topics →

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Monday, 5 October 2026

Open and Emergent Problems in Agentic Privacy and Security: A Contextual Angle

Google Research 1 week ago 3

A workshop report from Google Contextual Agent Privacy and Security reviewed open and emergent privacy and security problems for autonomous, LLM-driven agents and proposed a contextual approach to evaluate actions. The report was developed for a late-2025 workshop held in New York City with more than 50 academic and industry leaders. It calls for multi-layer safeguards including sandboxing, context-aware policy engines, user controls, ecosystem governance, and new multi-agent benchmarks (“Agent Gym”) to measure risk over long-running interactions.

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