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ST-WebAgentBench: A Benchmark for Evaluating Safety and Trustworthiness in Web Agents

ICLR 2026 · Multi-agent systems and games › LLM agents · approach: Software engineering agent benchmarks · 1 citations (OpenAlex)

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Introduces ST-WebAgentBench, a 375-task BrowserGym-based benchmark with 3,057 safety/trust policies across six dimensions, and the CuP metric, showing three web agents keep only about two-thirds of their completions once policies are enforced.

Problem

Web agent benchmarks score only task completion and ignore whether agents act safely and comply with organizational, user, and task policies in enterprise settings.

Approach

Attach concrete ST policy templates (consent, boundary, strict execution, hierarchy, robustness, error handling) to web tasks and score agents with Completion-under-Policy (CuP), which credits a completion only if no policy is violated, plus a Risk Ratio per dimension and a vision-vs-DOM modality challenge.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: WebArena GitLab tasks WebArena ShoppingAdmin tasks SuiteCRM tasks

Benchmarks: ST-WebAgentBench

Metrics: completion rate CuP pCuP partial completion rate risk ratio all-pass@k

Baselines: AgentWorkflowMemory WorkArena-Legacy WebVoyager

Builds on: WebArena BrowserGym WorkArena AutoGen LangGraph

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