AI Risk Management with the NIST Framework

As organizations rapidly adopt artificial intelligence, managing the unique security, privacy, and ethical risks of these technologies has become a critical business priority. Understanding how to systematically govern AI systems is essential for safeguarding data and maintaining trust. This text-only course guides you through the core principles of AI risk management, focusing on the industry-standard NIST AI Risk Management Framework. You will transition from understanding basic AI concepts to actively identifying vulnerabilities and implementing robust mitigation strategies. What you'll learn: Understand foundational AI risk terminology and the core functions of the NIST AI Risk Management Framework; Identify unique cybersecurity threats to AI systems, including data poisoning, model evasion, and prompt injection; Assess organizational readiness and establish governance structures for responsible AI deployment; Analyze privacy and data protection challenges associated with large language models and generative AI; Implement practical risk mitigation strategies to ensure AI safety, trustworthiness, and compliance; Develop actionable incident response plans tailored to AI-specific failures and security breaches. The course begins with essential definitions and foundational concepts of AI risk before moving step-by-step through mapping, measuring, and managing risks. Through clear written explanations and practical scenarios, you will learn how to apply these frameworks to real-world organizational challenges. This course is designed for beginners, cybersecurity professionals, risk analysts, and managers looking to understand AI governance, with no prior experience in AI development or risk management required. Start building a safer, more resilient environment for AI adoption today.