Strengthening Defensive Cybersecurity and Penetration Testing Through Agentic AI and Automation

The Defense Logistics Agency (DLA) seeks proposals for an agentic AI framework to enhance defensive cybersecurity and automate penetration testing. Traditional cybersecurity methods struggle with the DLA's complex global supply chain and evolving threats. The project aims to develop a multi-agent AI framework that mimics human cybersecurity teams, automating tasks like project management, cyber analysis, code generation, and vulnerability research. This framework will use specialized AI agents equipped with tools and knowledge to collaborate on complex cybersecurity workflows. Phase I focuses on a proof-of-concept prototype for automated network enumeration and RAG-based vulnerability research, with a budget of $100,000 over 12 months. Phase II, with a budget of $1,000,000 over 24 months, will expand the prototype to include vulnerability validation and simulated exploit attempts. Phase III involves transitioning the mature framework for operational use within the DLA Enterprise, ensuring a scalable, efficient, and resilient cybersecurity capability for the defense supply chain. The technology is restricted under ITAR/EAR regulations.