AI Agents for Cybersecurity

The cybersecurity field is rapidly evolving, with AI agents emerging as a critical force in defending against advanced cyber threats. This course explores the shift from manual security methods to intelligent automation, highlighting how AI agent, powered by Large Language Models, can reason, act autonomously, and integrate deeply within Security Operations Canters (SOCs). You’ll begin with foundational concepts in AI agent design and progress toward real-world applications, including threat detection, vulnerability analysis, incident response, and proactive threat hunting. Alongside technical implementation, the course addresses essential topics in security governance, operational risk, and the ethical deployment of autonomous systems. Designed for SOC analysts, managers, and cybersecurity professionals, this course offers actionable insights into deploying AI agents to improve speed, precision, and scalability in cyber defence. Whether you're enhancing current operations or preparing for the AI-driven future of cybersecurity, you'll gain the knowledge to use these systems responsibly and effectively

• Apply LLMs to automate cybersecurity analysis and response tasks
• Evaluate how AI agents detect threats, malware, and intrusions
• Design AI-driven workflows for incident response and threat hunting
• Identify security risks and propose governance for responsible deployment

• Basic familiarity with cybersecurity concepts and terminology
• Willingness to complete applied exercises