New SRE-Bench benchmark tests AI reverse engineering in cybersecurity

Researchers have introduced SRE-Bench, a novel benchmark designed to evaluate the reverse engineering capabilities of AI agents in cybersecurity. This benchmark is unique in its realistic scale and its rigorous approach to preventing data contamination, ensuring that AI models must genuinely analyze binaries rather than relying on memorized source code. Evaluations using SRE-Bench revealed that current frontier AI models, including GPT-5.6-sol, still struggle significantly with reverse engineering tasks, highlighting this as a critical area for future development in agentic cybersecurity. AI

IMPACT Highlights the gap between AI's source-code analysis and binary analysis capabilities, indicating a need for further development in agentic cybersecurity.

RANK_REASON The item is a research paper introducing a new benchmark for AI capabilities. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• Claude Opus-5
• GLM-5.2
• GPT-5.5
• GPT 5.6 "Sol"
• Grok 4.5
• SRE-Bench

• paper
• product

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