LLM-CTF Benchmark: Evaluating AI Agents in Cybersecurity

A new benchmark, LLM-CTF, has been introduced, containing 2,639 data points to test the planning and tool-use skills of AI agents in offensive security tasks.

Compiled by Sergey KostenchukPublished 2026-06-23Updated 2026-06-25

2026-06-23 Research

🛡 LLM-CTF Benchmark: Evaluating AI Agents in Cybersecurity

A specialized dataset has been introduced to test LLM agents in Capture The Flag (CTF) style cybersecurity tasks. The research includes 2,639 data points to evaluate planning and tool-calling skills in conditions closely resembling real-world attacks.

🌍 This allows developers to focus on creating reliable AI agents with advanced autonomous planning skills, which is critical for the cybersecurity industry.

👤 Progress in evaluation helps understand how close modern models are to fulfilling the role of full-fledged security specialists (Red Teaming).

Source 1: https://proceedings.neurips.cc/paper_files/paper/2024/hash/69d97a6493fbf016fff0a751f253ad18-Abstract-Abstract-Datasets_and_Benchmarks_Track.html Source 2: https://github.com/NYU-LLM-CTF/NYU_CTF_Bench

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