Parth Bhatt

I'm interning with DRDO (SAG), Ministry of Defence, where I conduct whitebox and blackbox web application penetration testing for government-grade systems. I identify vulnerabilities, develop proof-of-concept exploits, and surface critical attack vectors using industry-standard methodologies.

I build security products for AI systems, including Entropy Firewall, an open-source LLM security firewall that intercepts AI requests in real time. It includes 28+ detection patterns across eight OWASP categories and a Redis-backed rate limiter with sub-millisecond latency.

I also built ROBIN, an autonomous security research agent for real-time CVE correlation, and Guardiant, a multi-agent scanner for vulnerabilities in AI-generated code. My work combines Python, TypeScript, Node.js, Docker, agentic AI, and practical offensive security.

I've trained in threat detection, network defense, and AI-driven security analysis through Cisco Networking Academy and NIIT Foundation. I'm a four-time hackathon winner and rank in the top 6% globally on TryHackMe.