AI-Driven Cyber Defense: GenAI, Red Teaming & Modern Threats is a comprehensive, hands-on course designed to prepare cybersecurity professionals for the rapidly evolving era of AI-powered attacks and defenses. As organizations adopt GenAI and LLM-based tools at scale, new risks are emerging—from prompt injection and model manipulation to automated offensive agents capable of bypassing traditional security controls. This course bridges the current skills gap by combining foundational knowledge with practical, real-world application.
Across the program, learners will explore how GenAI is reshaping both sides of the cyber battlefield. You will learn to leverage AI for threat detection, incident response, and security automation while also understanding how adversaries weaponize AI to exploit vulnerabilities in models, APIs, and enterprise environments. The course introduces leading frameworks including MITRE ATLAS, OWASP Top 10 for LLMs, and GenAI risk-management best practices for 2025, ensuring students gain industry-aligned competencies rather than theory alone.
Hands-on labs and guided exercises will take you from basic AI red-teaming techniques to advanced attack simulations using AI agents, allowing you to safely test model behavior, identify weaknesses, and design resilient systems. You will also learn how to secure API-driven GenAI deployments, implement guardrails and monitoring strategies, and evaluate tooling for enterprise-grade protection.
Whether you are part of a SOC team, an ethical hacker, a security architect, or an IT professional transitioning into the AI-security space, this course equips you with the practical skills and strategic insight needed to defend modern environments. By the end, you will be ready to confidently assess, secure, and operationalize GenAI in real-world cybersecurity scenarios—staying ahead of threats instead of reacting to them.
