🛡️ PentestAgent

PentestAgent is an AI agent framework designed specifically for black-box security testing. Its use cases are highly targeted, aiming to assist security researchers with bug bounties, red-team operations, and standard penetration testing workflows. Bringing large language models into cybersecurity, particularly offensive security, is a technically demanding direction. Traditional automated scanners often lack an understanding of complex business logic. This project attempts to leverage the reasoning capabilities of AI agents to simulate the thought process of a human security expert for smarter vulnerability discovery. The hard part is that security testing environments are highly complex and unpredictable, making agents prone to hallucinations or getting stuck in invalid loops. It is exploring how to effectively combine existing security tools with the planning capabilities of LLMs. For those tracking AI applications in the cybersecurity vertical, this project offers a solid reference point.