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Bibliographic Details
Main Authors:	Abdelnabi, Sahar, Hicks, Chris, Rieck, Konrad, Sadeghi, Ahmad-Reza
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	https://arxiv.org/abs/2605.22568
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Table of Contents:

The 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.