AI Risk Management: Training Course

What Is AI Risk Management?

AI risk management is the work of finding the risks that come from AI systems, judging how serious they are, choosing ways to reduce them and watching them over time. Its aim is to keep AI safe, fair and lawful while the organization gains its benefits. Organizations apply it at every stage of an AI system's life, from planning and building to daily use and retirement, guided by frameworks and laws such as the NIST AI Risk Management Framework and the EU AI Act.

Why Is AI Risk Management Important?

AI systems now handle sensitive data and support important decisions. Laws such as the EU AI Act, and data protection laws such as the EU's General Data Protection Regulation (GDPR), set clear expectations for responsible AI use. Good AI risk management helps organizations meet these expectations, catch problems early and keep people accountable for AI outcomes.

Benefits of PECB AI Risk Management Certification

A PECB Lead AI Risk Manager credential shows that you can:

Identify, analyze, evaluate and treat AI risks such as bias, security weaknesses and limited transparency
Set up AI risk governance with clear roles and reporting
Apply the NIST AI Risk Management Framework and the EU AI Act to governance and compliance work
Develop risk mitigation strategies and incident response measures
Monitor AI risks and report on them to leadership

How Do I Get Started?

The Lead AI Risk Manager course suits professionals who already know the basics of AI and of risk management. If you are new to AI governance, consider starting with ISO/IEC 42001 Foundation.

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Who Should Attend?

Cybersecurity graduates and career changers pursuing GRC roles.
Risk, governance and compliance professionals working with AI.
Teams developing, implementing or overseeing AI systems.
Managers and consultants assessing AI risks and recommending controls.

Available Training Course

Lead AI Risk Manager

The PECB Lead AI Risk Manager training course prepares you to identify, assess, treat and monitor the risks that come with AI systems. Drawing on the NIST AI Risk Management Framework, the EU AI Act and the MIT AI Risk Repository, it covers AI risk governance, regulatory compliance and ethical risk management.

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