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A smarter way to learn with interactive, real-time conversations that help you test your knowledge, challenge assumptions, and deepen your understanding as you progress through the course. Build the expertise to identify, assess, and mitigate cybersecurity and AI-related risks in modern organizations. You'll develop practical skills in risk analysis, governance, compliance, security controls, and executive communication while learning industry-recognized frameworks and standards that strengthen cyber resilience. The course begins with the fundamentals of cybersecurity risk management, introducing core concepts, threat landscapes, and professional practices. You'll then progress through the complete risk management lifecycle, including risk identification, assessment, mitigation, monitoring, and hands-on workshops for building risk registers and applying quantitative analysis using the FAIR framework. Next, you'll explore AI risk management, AI governance, regulatory requirements, information classification, security controls, third-party risk management, vulnerability management, ISO standards, and global compliance frameworks. The course concludes by teaching you how to communicate technical risks effectively to executives and stakeholders using business-focused reporting techniques. This course is ideal for IT professionals, cybersecurity practitioners, risk analysts, compliance specialists, security managers, and aspiring governance professionals seeking practical cybersecurity risk management skills. A basic understanding of IT and cybersecurity concepts is recommended. The course is designed for learners at the Intermediate level. By the end of the course, you will be able to identify, assess, quantify, and manage cybersecurity and AI risks, implement industry-standard risk management frameworks, develop governance policies, support regulatory compliance, communicate risks effectively to business leaders, and strengthen organizational cyber resilience.
