With the increasing Large Language Model's performance in reasoning, the possibility of an LLM-powered agent to autonomously perform pentesting is becoming a viable reality to some extent.
How well can an AI agent perform pentesting autonomously starting from scanning to finally drafting the Vulnerability Assessment and Penetration Testing report (VAPT)?
Pradeep will demo a proof of concept of such AI Agent that autonomously plans the pentesting steps, performs scanning, analyzes scanning result, enumerates, exploits vulnerability, and finally drafts a VAPT. Pradeep will summarise the effectiveness, challenges, and the lessons learned for future scope of development of such AI Cyber Security agent.