AI Security

This comprehensive course on AI Security, designed by renowned instructor Christopher Nett, serves as an essential blueprint for cybersecurity professionals navigating the rapid evolution of generative AI. As artificial intelligence integrates deeply into enterprise environments, safeguarding these systems is paramount. Security analysts, SOC team members, threat intelligence specialists, and IT governance managers will gain actionable insights into both defending AI systems and leveraging AI tools for defense. Throughout the curriculum, learners explore the mechanics of cutting-edge platforms like Microsoft Security Copilot and ChatGPT, discovering how to optimize these tools for threat detection, incident response, and proactive intelligence gathering. The course addresses critical security frameworks, including the MITRE ATLAS matrix and the OWASP Top 10 vulnerabilities for Large Language Models (LLMs), giving defenders a structured methodology to counter modern exploits. Additionally, students will master the practical side of AI security through threat modeling exercises, penetration testing methodologies specifically tailored for generative models, and the creation of robust governance frameworks. By the end of this training, security practitioners will possess the hands-on expertise needed to architect resilient AI infrastructures, mitigate adversarial risks, and securely harness the power of GenAI.