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Identify, assess, and mitigate AI risks with recognized frameworks
This Lead AI Risk Manager course is available eLearning and can be started at any time. Available in EN. Learn at your own pace with no fixed schedule.
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View course →4 days
Exam Included · Certification Available
ISO 22301 Lead Implementer · ISO 27001 Lead Implementer · CISSP® Exam Bootcamp · CISM® Exam Bootcamp · ISO 27701 Lead Auditor
Expert in Information and Cyber Security, Cloud Security, Risk Management and Governance Consulting for large multinational corporations, government entities and international organizations Management Systems Certified Lead Auditor
ISO 27001 Lead Implementer · ISO 27001 Lead Auditor · ISO 27002 Lead Manager · ISO 27005 Risk Manager · ISO 31000 Lead Risk Manager
Christophe Mazzola isn’t your typical CISO; he’s an adventurer with a knack for translating IT gobbledygook into plain, everyday language. Christophe’s mission is to simplify cybersecurity for everyone. A multi-certified expert, and the soon-to-be author of Être en Cybersécurité, he’s spent the last decade diving deep into the world of cybersecurity. Christophe’s expertise spans across industries—whether it's guiding SaaS companies, military & defense, aerospace, financial or public administration.
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This course runs multiple times per year, onsite and online.
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Train with practitioners. Pass with confidence.
Abilene Academy is the only PECB Titanium Partner in Switzerland — the highest accreditation tier in the industry — delivering certified training in information security, data protection, AI governance, and GRC compliance. 99% exam pass rate. 2,500+ professionals trained across 120+ countries and trusted by 600+ organizations. Multilingual programmes available.
Artificial intelligence has moved from experimental technology to regulated, business-critical infrastructure. In the 2024–2025 landscape, organizations deploying AI systems face increasing scrutiny from regulators, customers, and internal governance bodies. The EU AI Act, sector regulations, and emerging supervisory practices require organizations to demonstrate not only innovation, but control, accountability, and documented decision making around AI risks.
This training addresses the gap between high-level AI principles and operational risk management. Participants do not merely review frameworks; they actively apply them. The course walks through how AI risks emerge across the lifecycle, from data selection and model design to deployment, monitoring, and change management. Emphasis is placed on bias, robustness, security, transparency, and compliance risks that are already triggering enforcement actions and governance failures.
Abilene Academy’s approach is grounded in real advisory work. Trainers bring concrete examples of how organizations structure AI risk governance, allocate responsibilities, and produce evidence expected by auditors and regulators. Exercises focus on framing AI risks in clear language, selecting proportionate mitigation measures, and embedding AI risk management into existing enterprise risk and governance structures.
Rather than treating AI risk as a purely technical problem, the course aligns technical, legal, and business perspectives. Participants practice making defensible trade-offs, documenting rationale, and reporting AI risk exposure in a way that supports informed decision making. The result is a practical capability to manage AI risk as a governance discipline, not a theoretical exercise.