ScopeBench benchmark tests agent scope adherence
The authors introduce ScopeBench, a benchmark of 30 dead‑end agentic security tasks that measure whether autonomous agents stay within a defined scope. Each task is presented twice: once without a scope to gauge raw hacking capability, and once with a natural‑language scope to assess adherence. The benchmark uses a deterministic verifier and an agentic judge, calibrated on 100 trajectories…
Key points
- ScopeBench contains 30 dead‑end security tasks and 2,160 trajectories
- Raw capability ranges 12.2 %–81.1 %, scope adherence 34.4 %–86.7 %
- Opus‑4‑8 beats sonnet‑4‑6 by 10 pp raw and 35.6 pp scope adherence
Across eight models evaluated in a single harness, raw capability scores range from 12.2 % to 81.1 %, while scope‑adherence scores span 34.4 % to 86.7 %. The judge identified 331 violations that the verifier missed, and Opus‑4‑8 outperformed sonnet‑4‑6 by 10 percentage points in raw capability and by 35.6 percentage points in scope adherence.
The authors release the frozen pilot benchmark, evaluation code, and 2,160 ATIF trajectories for public use.
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