AI Risk Management and Enterprise Integration

In this course on AI Risk Management and Enterprise Integration, you’ll learn how to assess and manage AI-related risks across systems and departments. You’ll also explore the NIST AI Risk Management Framework and operational control strategies. These tools help reduce harm, improve compliance, and align AI oversight with broader enterprise goals.

You'll explore risk assessment techniques that use scenario analysis, stakeholder input, and structured templates to classify and document AI risks. You’ll examine how to apply the NIST framework throughout the AI lifecycle, from governance and system mapping to measurement and ongoing risk response. You’ll also explore how to design layered controls, plan for incidents, and integrate AI risk into existing cybersecurity and enterprise governance programs. By the end of this course, you’ll be able to lead responsible AI implementation at both the project and organizational levels.

Learning Objectives:

• Assess AI risk factors using qualitative and quantitative methods
• Apply the NIST AI Risk Management Framework to real-world systems
• Design technical and procedural risk controls for AI environments
• Develop incident response plans for AI-related events
• Integrate AI oversight into enterprise governance and cybersecurity programs