Lead AI Risk Manager
Lead AI Risk Manager
2026 edition
Self-paced PECB training delivered via myPECB.
Global training partner Aegentra is an official PECB authorised training partner and an official CompTIA partner.
Lead AI Risk Manager is PECB’s AI risk management certification. It covers AI risk principles and regulation, programme governance, risk identification and analysis, evaluation, treatment and monitoring, and organisational learning, using the NIST AI RMF, the EU AI Act and the MIT AI Risk Repository.
- CPD credits
- 31
- Course languages
- English
Who it is for
- Risk professionals extending an enterprise or information security risk practice to AI systems.
- IT and security professionals responsible for AI systems in production.
- Data scientists, data engineers and AI developers who need to assess the risks of what they build.
- Consultants, and legal and ethical advisors, working on AI governance.
- Managers overseeing AI projects, and executives accountable for AI risk.
What you will learn
- Explain AI risk management fundamentals, principles and the main AI regulations.
- Identify, analyse, evaluate and treat AI risks such as bias, security vulnerabilities, transparency issues and ethical concerns.
- Plan mitigation strategies and AI incident response.
- Apply established AI risk management frameworks, such as the NIST AI Risk Management Framework and the EU AI Act.
- Analyse real-world AI risk scenarios from the MIT AI Risk Repository.
Course content
Day 1: Introduction to AI risk management
- AI risk principles and concepts
- AI regulation and frameworks
Day 2: Organisational context, AI risk governance and AI risk identification
- Organisational context
- AI risk governance
- AI risk identification
Day 3: Analysis, evaluation and treatment of AI risks
- AI risk analysis
- AI risk evaluation
- AI risk treatment
Day 4: Monitoring, reporting and improvement
- AI risk monitoring and reporting
- Training and awareness
- Optimising AI risk performance
Day 5: Certification exam
- PECB Certified Lead AI Risk Manager exam
- Three hours, 80 multiple-choice questions, open book
Prerequisites
- A fundamental understanding of AI concepts and a general knowledge of risk management principles.
- Familiarity with AI governance frameworks such as the NIST AI Risk Management Framework or the EU AI Act helps but is not mandatory.
The exam
- Format
- Open-book, multiple-choice
- Duration
- 3 hours (non-native English speakers can have 30 additional minutes)
- Questions
- 80 multiple-choice questions with three options each, stand-alone or scenario-based (five questions per scenario), across five competency domains: AI risk principles, concepts and regulations (20); AI risk management program and governance (15); AI risk identification and analysis (15); AI risk evaluation, treatment and monitoring (20); organizational learning and performance improvement (10)
- Pass mark
- 70%
Credential tiers
| Credential | Professional experience | Project activity |
|---|---|---|
| PECB Certified AI Risk Provisional Manager | None; None | None |
| PECB Certified AI Risk Manager | Two years; At least one year in AI risk management | 200 hours of AI risk management activity |
| PECB Certified Lead AI Risk Manager | Five years; At least two years in AI risk management | 300 hours of AI risk management activity |
| PECB Certified Senior Lead AI Risk Manager | Ten years; At least seven years in AI risk management | 1,000 hours of AI risk management activity |
What is included
Official PECB Self-Study package
- Official PECB Lead AI Risk Manager training materials through myPECB: over 450 pages of information, practical examples, exercises and quizzes
- The examination, with certification fees included in the exam price
- One free retake within 12 months of the initial exam date
- An attestation of course completion worth 31 CPD credits, as published by PECB