How is the PECB Lead AI Risk Manager exam structured?
The exam is domain-based, covering AI risk concepts and regulations, governance, identification and analysis, evaluation/treatment/monitoring, and organizational learning and performance improvement.
The exam assesses your ability to manage AI risk end-to-end. Domains include AI risk principles and regulations, building an AI risk management program and governance, identifying and analyzing AI risks, evaluating and treating risks with monitoring, and driving organizational learning and performance improvement.
The stated delivery is online with a duration of three hours, and the exam is available in English.
Related Information
- Domain 1: AI risk principles, concepts, regulations.
- Domain 2: program and governance.
- Domain 3: identification and analysis.
- Domain 4: evaluation, treatment, monitoring.
- Domain 5: organizational learning and improvement.
Expert Insight
Study by mapping each domain to concrete actions: governance setup, risk identification workflow, treatment decision rules, monitoring metrics, and post-incident learning loops.
Topics
Related Answers
What is AI risk management in practice?
AI risk management is the structured way to identify, assess, treat, and monitor AI risks—such as bias, security threats, transparency gaps, and compliance exposure—through governance, controls, and evidence.
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What topics are covered across the four course days?
Day 1 covers AI risk fundamentals; Day 2 covers context, governance, and risk identification; Day 3 covers analysis, evaluation, and treatment; Day 4 covers monitoring, reporting, awareness, and continual improvement.
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How do NIST AI RMF and the EU AI Act relate to the course?
They provide recognized structures for governing AI risk, defining controls, and demonstrating compliance and ethical AI use in organizational settings.
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