Cybersecurity for AI: Protecting Intelligent Systems

As artificial intelligence becomes deeply integrated into our digital infrastructure, it introduces entirely new security vulnerabilities and attack vectors. Understanding how threat actors exploit these systems is the first step in building resilient defenses. This text-based course prepares you to navigate the intersection of cybersecurity and artificial intelligence, helping you transition from a beginner to a security-conscious professional who can identify and mitigate AI-specific threats. What you'll learn: - Understand foundational cybersecurity principles, terminology, and the modern threat landscape - Identify unique AI vulnerabilities, including prompt injection, model extraction, and data poisoning - Analyze hacker methodologies, culture, and common cyber attack vectors - Apply defensive security strategies and zero-trust concepts to intelligent systems - Evaluate how AI is used to both automate cyberattacks and enhance defensive detection You will start with core concepts and foundational security definitions before moving step-by-step through real-world threat scenarios, defensive strategies, and modern security frameworks. This course is designed for absolute beginners, technology enthusiasts, and professionals looking to understand the security implications of artificial intelligence with no prior cybersecurity experience required. Begin reading today to build a secure foundation for the future of technology.