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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2605.22568 |
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| _version_ | 1866918516631797760 |
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| author | Abdelnabi, Sahar Hicks, Chris Rieck, Konrad Sadeghi, Ahmad-Reza |
| author_facet | Abdelnabi, Sahar Hicks, Chris Rieck, Konrad Sadeghi, Ahmad-Reza |
| 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2605_22568 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Measuring Security Without Fooling Ourselves: Why Benchmarking Agents Is Hard Abdelnabi, Sahar Hicks, Chris Rieck, Konrad Sadeghi, Ahmad-Reza Cryptography and Security Artificial Intelligence 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. |
| title | Measuring Security Without Fooling Ourselves: Why Benchmarking Agents Is Hard |
| topic | Cryptography and Security Artificial Intelligence |
| url | https://arxiv.org/abs/2605.22568 |