Automated API Penetration Testing with LLMs and CrewAI

This project aims to revolutionize API security testing by leveraging the power of Large Language Models (specifically, the best Mistral model) and CrewAI's multi-agent collaboration framework. Our solution automates the entire penetration testing lifecycle, from reconnaissance to reporting. By combining advanced natural language processing with coordinated AI agents, we're creating a robust, scalable, and intelligent system capable of identifying vulnerabilities that traditional tools might miss. Key features:

  • Seamless integration of LLM-powered analysis with CrewAI's task distribution
  • Comprehensive coverage of OWASP API Security Top 10 threats
  • Automated report generation with actionable insights for developers

Built With

Share this project:

Updates