cs.CRcs.AI
Measuring Security Without Fooling Ourselves: Why Benchmarking Agents Is Hard
May 21, 2026
AI Summarygemma4:e4b
This paper identifies three core weaknesses—benchmark vulnerabilities, temporal staleness, and runtime uncertainty—that undermine current AI agent security evaluations and proposes directions for building more robust testing frameworks.
Abstract
More Like ThisThe benchmarks used to evaluate AI agents in security-critical roles suffer from crucial weaknesses. Building on recent empirical evidence, we characterize three core challenges that undermine security evaluations: benchmark vulnerabilities, temporal staleness, and runtime uncertainty. We then outline practical directions toward building more robust and trustworthy evaluation frameworks.