Lead AI Risk Manager at a glance
The PECB Certified Lead AI Risk Manager course costs A$578 + GST as Self-Study, with the official exam and one free retake included. It teaches you to identify, analyse, evaluate and treat AI risks such as bias, security vulnerabilities, transparency issues and ethical concerns, using the NIST AI Risk Management Framework, the EU AI Act and real scenarios from the MIT AI Risk Repository. Aegentra Academy is an official PECB authorised training partner.
What is AI risk management, and how is it different from IT risk?
AI risk management applies the familiar cycle of identifying, analysing, evaluating, treating and monitoring risk to AI systems. What changes is the kind of risk. PECB’s learning objectives name bias, security vulnerabilities, transparency issues and ethical concerns, alongside the security and availability questions any IT risk assessment asks. The course also covers mitigation strategies and AI incident response, and it asks you to analyse real-world AI risk scenarios from the MIT AI Risk Repository rather than invented examples.
Which frameworks is the course built on?
PECB says the course is "based on leading frameworks such as the NIST AI Risk Management Framework, the EU AI Act, and insights from the MIT AI Risk Repository". One learning objective is to "apply established AI risk management frameworks, such as the NIST AI Risk Management Framework and the EU AI Act".
The exam reaches further. The candidate handbook’s first domain covers "key international standards and frameworks such as ISO/IEC 42001, ISO/IEC 22989, ISO/IEC 23894, and the NIST AI Risk Management Framework". So ISO/IEC 23894 is in scope for the exam, but the course is not based on it.
What is ISO/IEC 23894?
ISO/IEC 23894:2023 is the international guidance standard on risk management for artificial intelligence. Because it is guidance, organisations are not certified against it, and there is no PECB ISO/IEC 23894 credential. If you searched for an ISO/IEC 23894 course, Lead AI Risk Manager is the PECB credential whose exam covers it, together with ISO/IEC 42001, ISO/IEC 22989 and the NIST AI RMF. The certifiable AI management system standard is ISO/IEC 42001.
AI regulation in Australia and New Zealand, as the exam frames it
The handbook’s Domain 1 expects candidates to understand AI regulation "across major regions, including the EU AI Act, GDPR, UK. and US. AI laws, sector-specific regulations, and emerging frameworks in Asia, Latin America, Africa, Australia, and New Zealand". Australia and New Zealand are named in the exam’s own competency statement, which few AI credentials do.
What the course covers, day by day
PECB’s five-day agenda is the order of the Self-Study materials. Day one introduces AI risk management. Day two covers organisational context, AI risk governance and AI risk identification. Day three covers the analysis, evaluation and treatment of AI risks. Day four covers AI risk monitoring and reporting, training and awareness, and optimising AI risk performance. Day five is the certification exam.
Lead AI Risk Manager exam domains and weighting
Three hours, 80 multiple-choice questions, open book, with a 70% pass mark, from candidate handbook v1.5. Each question has three options and is either stand-alone or scenario-based, with five questions per scenario. Non-native English speakers can have 30 additional minutes for Lead exams.
By cognitive level, 30 questions (37.5%) test comprehension and 50 questions (62.5%) test application, analysis and evaluation. Most of the exam asks you to use the method, not recite it.
Credential tiers and the experience you need
Every tier takes the same exam and requires signing the PECB Code of Ethics. What you are awarded depends on the experience PECB verifies.
Activities that count: 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.
A candidate who passes without that experience is awarded AI Risk Provisional Manager, not Lead AI Risk Manager. The Lead title needs five years of professional experience, two of them in AI risk management, and 300 hours of AI risk management activity.
Lead AI Risk Manager compared with the other AI courses
Choose by the work you do. These are complementary credentials, not substitutes.
For general enterprise risk, ISO 31000 Risk Manager covers the risk management process without the AI focus. The AI certifications pathway compares every option.
If your organisation needs the work done, not a person trained
An individual credential does not certify an organisation or an AI product. If you need an AI management system built and evidenced, Aegentra’s ISO 42001 implementation service does that work. If you sell AI agents and customers are asking for AIUC-1, see AIUC-1 readiness.
How the course helps you
- A method you can apply on Monday. 62.5% of the exam tests application, analysis and evaluation, so the preparation is the practice.
- Frameworks buyers and regulators name. The NIST AI RMF and the EU AI Act are the backbone, with ISO/IEC 42001, 22989 and 23894 in the exam scope.
- A clear progression. Start at Provisional if you are new to AI risk and apply for the higher tier as your experience grows.
- Real scenarios. Case material comes from the MIT AI Risk Repository.
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