Generative AI in Cybersecurity: Enterprise Threat Defense

As enterprise environments grow increasingly complex, security teams must adapt to both the opportunities and the risks introduced by generative AI. This written course guides you through the intersection of artificial intelligence and modern cybersecurity. You will transition from understanding basic security concepts to confidently applying AI-driven defense strategies. By reading through clear, practical explanations and analyzing real-world scenarios, you will learn how to identify vulnerabilities in AI systems, automate threat classification, and strengthen your organization's security posture. What you'll learn: - Understand foundational AI and machine learning terms within an enterprise security context. - Identify and mitigate unique generative AI vulnerabilities, including prompt injection and data poisoning. - Apply AI-powered threat detection and classification techniques to analyze security logs. - Implement zero-trust security concepts to protect enterprise data and AI pipelines. - Evaluate the ethical implications and compliance standards of deploying AI in security operations. The course begins with essential terminology and the basics of enterprise defense, then transitions into hands-on analysis of AI vulnerabilities and practical mitigation strategies. You will study written examples of AI-assisted threat hunting and learn how to secure modern data pipelines. This text-only course is designed for cybersecurity beginners, IT professionals, and security enthusiasts who want to understand the role of AI in defense. No prior programming or AI experience is required. Start reading today to build a modern, AI-ready foundation in enterprise cybersecurity.