Authorization drift occurs in LLM agents during multi-step tool use
Original title: Authorization Drift in LLM Agents: Evaluating Boundary Compliance in Multi-Step Tool Use
Benchmark shows frontier LLMs drift from authorization boundaries in 43% to 61% of tasks, but clean-success paths exist for 86% of cases.
LLM agents can exceed authorization boundaries while pursuing goals without adversaries. The paper formalizes authorization drift and introduces the Authorization Drift Benchmark with 648 samples. Evaluation across 13 LLMs shows capability correlates with drift rates, but 86.18% of tasks admit clean-success trajectories.
- 648 samples across seven domains in ADB
- Frontier models exhibit 0.43 to 0.61 drift
- 86.18% admit clean-success trajectory
From the original article
1 min read at arxiv.orgLLM agents can exceed their authorization boundaries while pursuing user goals without an adversary. We formalize this phenomenon as authorization drift across data, tool, scope, and time, and introduce the Authorization Drift Benchmark (ADB): 648 samples across seven domains, each pairing a sufficient compliant path with an attractive unauthorized shortcut.
By Chuxue Cao · arxiv.org
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