Learning Paths for Technical Professionals
AI for Penetration Testers & Ethical Hackers
This starter learning path introduces AI-driven penetration testing and ethical hacking, focusing on leveraging ChatGPT and LLMs for cybersecurity. It covers prompt engineering, jailbreaking, phishing, brute-force attacks, LLM-specific penetration testing, MITRE ATT&CK/ATLAS frameworks, OWASP Top 10 LLM vulnerabilities, red teaming, and hands-on labs for exploiting and defending generative AI systems.
Learning objectives:
- Apply ChatGPT and LLMs in ethical hacking: Utilize AI tools for vulnerability analysis, prompt engineering, and automating penetration testing tasks.
- Conduct penetration testing on LLMs: Follow structured methodologies to identify, exploit, and report vulnerabilities unique to generative AI systems.
- Map and mitigate AI threats using MITRE frameworks: Leverage MITRE ATT&CK and ATLAS to understand, detect, and defend against adversarial AI tactics.
- Perform LLM red teaming: Simulate real-world attacks on generative AI, focusing on OWASP Top 10 risks, including prompt injection, data poisoning, and excessive agency.
- Utilize specialized tools and labs: Gain hands-on experience with tools like Garak, Promptmap, and MCP scan, and participate in CTF challenges and mock exams to reinforce practical skills.
Target audience:
This path is designed for cybersecurity professionals, penetration testers, and ethical hackers seeking to expand their expertise into AI and LLM security. It is also suitable for IT security teams, red teamers, and learners interested in the intersection of generative AI and offensive security.