llm-security-testing

An intentionally vulnerable OWASP LLM Top 10 training platform for AI Security, Prompt Injection, RAG Security, Agent Security, and GenAI penetration testing.

Multi-agent AI penetration testing system with persistent engagement state, strategic coordination, and parallel autonomous operations.

A hands-on AI security project demonstrating prompt injection, data exfiltration, and defense strategies in Retrieval-Augmented Generation (RAG) systems.

Interactive LLM Attack & Defense Laboratory for demonstrating and analyzing LLM security threats.

AI Red Teaming portfolio — adversarial testing of LLMs & AI agents (prompt injection, jailbreaking, RAG exfiltration), mapped to OWASP LLM Top 10 & MITRE ATLAS. PhD Cybersecurity researcher (Springer-published) applying game-theoretic attack modeling to real AI systems.

Official implementation for M.Sc. Thesis: "Security Testing of Large Language Models via Causal Reinforcement Learning" (UniNa).