Opleiding: Lead AI Risk Manager (PECB Certified) - Including Exam [LAIRM]
OVERVIEW
Become acquainted with best practices for AI risk management, aligned with recognized frameworks and standards.
Artificial intelligence (AI) is transforming industries at an accelerated pace, driving innovation while simultaneously introducing new risks and challenges. As AI technologies advance, organizations must address critical concerns such as bias, security threats, transparency, and regulatory compliance. Managing these risks effectively requires a specialized approach that goes beyond traditional risk management frameworks.
The PECB Certified Lead AI Risk Manager certification validates your expertise in identifying, assessing, and mitigating AI-related risks while ensuring compliance with industry frameworks and regulations.
Upon passing the certification exam, participants can apply for the “PECB Certified Lead AI Risk Manager” credential.
Updated 14/7/2026
OBJECTIVES
Upon successfully completing the training course, participants will be able to:
- Understand AI risk management fundamentals, including key concepts, approaches, and techniques for identifying, assessing, and mitigating AI-related risks
- Identify, analyze, evaluate, and treat AI risks, such as bias, security vulnerabilities, transparency issues, and ethical concerns
- Develop and implement risk mitigation strategies and incident response measures to address AI-related threats and vulnerabilities
- Apply established AI risk management frameworks, such as the NIST AI Risk Management Framework and the EU AI Act, to ensure governance, compliance, and ethical AI use
AUDIENCE
This training course is intended for:
- Professionals responsible for identifying, assessing, and managing AI-related risks within their organizations
- IT and security professionals seeking expertise in AI risk management
- Data scientists, data engineers, and AI developers working on AI system design, deployment, and maintenance
- Consultants advising organizations on AI risk management and mitigation strategies
- Legal and ethical advisors specializing in AI regulations, compliance, and societal impacts
- Managers and leaders overseeing AI implementation projects and ensuring responsible AI adoption
- Executives and decision-makers aiming to understand and address AI-related risks at a strategic level
CERTIFICATION
Examination
The “PECB Certified Lead AI Risk Manager” exam meets all the requirements of the PECB Examination and Certification Program (ECP). It covers the following competency domains:
Domain 1: AI risk principles, concepts, and regulations
Domain 2: AI risk management program and governance
Domain 3: AI risk identification and analysis
Domain 4: AI risk evaluation, treatment, and monitoring
Domain 5: Organizational learning and performance improvement
Certification
After successfully completing the exam, you can apply for one of the credentials shown below. You will receive a certificate once you fulfill all the requirements of the selected credential.
PECB Certified AI Risk Provisional Manager
- Exam: PECB Certified Lead AI Risk Manager Exam, or equivalent
- Professional experience: None
- Information Security Management experience: None
- Other requirements: Signing the PECB Code of Ethics
PECB Certified AI Risk Manager
- Exam: PECB Certified Lead AI Risk Manager Exam, or equivalent
- Professional experience: 2 years, of which at least 1 in AI risk management
- Information Security Management experience: At least 200 hours of AI risk management activities
- Other requirements: Signing the PECB Code of Ethics
PECB Certified Lead AI Risk Manager
- Exam: PECB Certified Lead AI Risk Manager Exam, or equivalent
- Professional experience: 5 years, of which at least 2 in AI risk management
- Information Security Management experience: At least 300 hours of AI risk management activities
- Other requirements: Signing the PECB Code of Ethics
PECB Certified Senior Lead AI Risk Manager
- Exam: PECB Certified Lead AI Risk Manager Exam, or equivalent
- Professional experience: 10 years, of which at least 7 in AI risk management
- Information Security Management experience: At least 1000 hours of AI risk management activities
- Other requirements: Signing the PECB Code of Ethics
To be considered valid, AI risk management activities should follow best implementation and management practices and include the following:
- Determining the AI risk management objectives and scope
- Performing AI risk assessment
- Developing an AI risk management program
- Defining AI risk evaluation and risk acceptance criteria
- Evaluating risk treatment options for AI risks
- Monitoring and reviewing the AI risk management program
NEXT STEP
- None
CONTENT
Day 1: Introduction to AI risk management
Day 2: Organizational context, AI risk governance, and AI risk identification
Day 3: Analysis, evaluation, and treatment of AI risks
Day 4: AI risk monitoring and reporting, training and awareness, and optimizing AI risk performance
