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Scoring AI hackers when there is no answer key

AI models are saturating existing offensive-cyber benchmarks, which often rely on bugs with public writeups, limiting their ability to differentiate top systems. The AI security lab Irregular introduced FrontierCyber, a benchmark designed to score AI hackers without a fixed answer key, addressing the problem of benchmarks becoming obsolete once models solve most tests.

read1 min views1 publishedJun 25, 2026

AI models are solving more and more of the offensive-cyber tests built to measure them. Once a model solves most of a benchmark, that benchmark runs out of room and says little about the best systems anymore. Many of those tests also lean on bugs that already have public writeups, so a strong score can come partly from a model repeating something it has read. FrontierCyber, a benchmark from the AI security lab Irregular, goes … More

The post Scoring AI hackers when there is no answer key appeared first on Help Net Security.

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