Impact of Generative AI on Cyber Security

About this course

In our rapidly advancing digital world, Generative Artificial Intelligence (Generative AI) has emerged as both a revolutionary innovation and a formidable challenge for cybersecurity professionals. This course, Cybersecurity in the World of Generative AI, provides a deep and structured exploration into the intersection of AI and cybersecurity, offering the tools, insights, and strategies needed to defend against emerging AI-driven threats.Whether you're a cybersecurity professional, AI practitioner, IT leader, ethical hacker, student, or simply intrigued by the synergy between cybersecurity and artificial intelligence, this course will empower you to stay ahead of the curve.What You'll Learn1. Understanding Generative AIThe foundations and types of Generative AI models (e.g., GPT, DALL·E, StyleGAN)Core use cases across industries — text generation, image synthesis, code generation, deepfakesHow these models function and why they matter to cybersecurity2. Generative AI Security RisksDisinformation campaigns powered by AI-generated contentSynthetic identity creation and social engineeringWeaponization of generative models for phishing, impersonation, and malware evasion3. Defensive MechanismsBuilding and implementing anomaly detection systemsThreat modeling tailored to Generative AI threatsRed-teaming techniques for AI-enabled environmentsTools and frameworks to secure AI pipelines and outputs4. Real-world Case StudiesIn-depth analysis of security incidents involving Generative AILessons learned from organizations impacted by AI-driven threatsExamples of AI assisting in both offensive and defensive cybersecurity

Course objectives

• To understand the foundational concepts of Generative AI
• To identify and assess the security risks posed by Generative AI
• To develop and implement defensive strategies against AI-driven cyber threats
• To analyze case studies of AI's impact on cybersecurity