AI-Powered Risk Management: Prioritizing Threats with Predictive Analytics

About the Course:

This course introduces a modern, AI-driven approach to risk management, showing participants how machine learning and predictive analytics can move security programs from reactive responses to proactive threat anticipation. Through live demonstrations and hands-on data exercises, learners explore how AI uncovers hidden risk patterns, predicts likely attack paths, and enhances both qualitative and quantitative analysis. 

By the end, attendees will understand the core tools, techniques, and integration strategies needed to strengthen their organization’s risk posture using AI.

Course Objectives:

• Explain how ML models identify hidden risk patterns
• Differentiate between qualitative and quantitative risk analysis
• Understand AI prediction of attack paths
• Identify AI-driven risk management tools
• Formulate an AI integration plan

Who is the Target Audience?

• Cybersecurity Risk Analysts, CISOs, IT Auditors

Basic Knowledge:

• Cybersecurity concepts