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Risky-Bench: Evaluating Agentic Safety Risks in Real-World Life-Assist Deployments
Large Language Models (LLMs) are increasingly deployed as agents that operate in real-world environments, introducing safety risks beyond linguistic harm through tool use, external transactions, and multi-step decision making. Existing agent safety evaluations construct risk-oriented tasks that lack
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