STRIATUM-CTF: A Protocol-Driven Agentic Framework for General-Purpose CTF Solving

1. 1Develop a protocol-driven agentic framework for CTF solving
2. 2Integrate Large Language Models (LLMs) for code generation and reasoning
3. 3Implement search-based test-time reasoning inference for tactical utility maximization
4. 4Evaluate the framework using dynamic benchmarks that capture real-world vulnerabilities

This research benefits cybersecurity teams and AI engineers working on offensive cybersecurity operations, as it provides a framework for dynamic vulnerability analysis and exploitation

💡 STRIATUM-CTF enables multi-step, stateful reasoning for offensive cybersecurity operations using LLMs

🚀 Introducing STRIATUM-CTF: a protocol-driven agentic framework for general-purpose CTF solving using LLMs!