Understanding and Managing AI Risk & Shadow AI in Organizations

Understanding and Managing AI Risk & Shadow AI Training Course addresses one of the most urgent governance challenges facing modern organisations. Artificial Intelligence is now deeply embedded in everyday business activity—used in analytics, decision support, automation, content creation, and customer engagement. While these technologies create measurable gains in efficiency and innovation, they also introduce new categories of operational, ethical, legal, and reputational risk that are often poorly understood or unmanaged.

A growing concern is the rise of Shadow AI—the use of AI tools, applications, or embedded AI features outside approved governance structures. Employees frequently adopt generative AI platforms, decision-support tools, or automated solutions independently to solve immediate business needs. Without visibility or oversight, this behaviour can expose organisations to data leakage, biased outcomes, intellectual property loss, regulatory breaches, and accountability failures.

Traditional IT risk and cybersecurity frameworks are not sufficient to address these challenges. AI risk requires a broader, integrated approach that combines governance, risk management, compliance, ethics, data protection, and organisational culture. Leaders must understand where AI is being used, assess the level of associated risk, and apply proportionate controls—without stifling innovation or productivity.

This training course equips participants with a structured and practical understanding of AI risk and Shadow AI within organisations. It provides clear frameworks for identifying AI usage, assessing risk exposure, implementing governance controls, and embedding responsible AI practices into enterprise risk management and decision-making processes.

This training course develops the capability to manage AI risk proactively while enabling secure and responsible AI adoption across the organisation.

Participants will learn how AI-related risks differ from traditional technology risks, how Shadow AI emerges, and how governance frameworks can be adapted to address these challenges effectively. The focus is on practical risk identification, assessment, and control aligned with organisational strategy and regulatory expectations.

By the end of this training course, participants will be able to:

• Understand the nature of AI risk and its organisational implications
• Explain Shadow AI and why it presents heightened risk exposure
• Identify AI and Shadow AI usage across business functions
• Assess AI risk using structured, risk-based methodologies
• Design controls to manage AI and Shadow AI responsibly
• Integrate AI risk into enterprise governance and ERM frameworks
• Support compliant, ethical, and sustainable AI adoption

This AI Risk & Shadow AI Training Course is designed for professionals responsible for governance, risk, compliance, technology oversight, and strategic decision-making in AI-enabled environments.

It is particularly valuable for leaders and specialists who must balance innovation with control, accountability, and regulatory compliance while managing emerging digital risks.

This training course will greatly benefit:

• Senior executives and organisational decision-makers
• Governance, Risk & Compliance (GRC) professionals
• Risk managers and internal auditors
• IT, cybersecurity, and data protection teams
• Legal and regulatory compliance professionals
• Digital transformation and innovation leaders
• Public sector and regulated industry professionals

This training course is delivered using proven adult learning techniques designed to promote understanding, practical application, and long-term retention.

Participants will engage through expert-led discussions, real-world AI risk scenarios, structured risk analysis exercises, and interactive workshops focused on governance and control design. Emphasis is placed on practical frameworks that can be immediately applied within organisational settings, rather than technical system development.

Learning activities encourage reflection, discussion, and collaboration, enabling participants to translate concepts into actionable risk management practices aligned with their organisational context.