ScopeJudge: Benchmarking and Improving Scope Enforcement for Autonomous Security Agents
A new arXiv preprint introduces ScopeJudge, a benchmark dataset of nearly 5,000 tool calls from offensive security agent trajectories, each labeled by professional penetration testers for scope violations. The study finds that static, policy-based approaches are inadequate for enforcing engagement boundaries, and that monitoring conditioned on the user's request is necessary to prevent out-of-scope actions. The dataset is released to facilitate research on real-time oversight of autonomous security agents.
Why it matters: The work highlights a key safety challenge for AI agents in security contexts, showing that effective oversight requires context-aware monitoring rather than static rules.
Full story at: arXiv Cryptography and Security ↗