A Highly Interactive Training Course On

Understanding and Managing AI Risk & Shadow AI in Organizations

Name: Understanding and Managing AI Risk & Shadow AI in Organizations Training Course
Rating: 4.7 (1076 reviews)

Identifying, Assessing, and Controlling AI Risks for Responsible and Secure AI Adoption

Upcoming Sessions

Classroom sessions

15 - 19 Jun 2026 London $5,950
24 - 28 Aug 2026 Paris $5,950
19 - 23 Oct 2026 Amsterdam $5,950
23 - 27 Nov 2026 Dubai $5,950
28 Dec 2026 - 01 Jan 2027 London $5,950

Online sessions

Course Introduction

Artificial Intelligence is increasingly becoming a core part of organizational operations, decision-making, and service delivery. From generative AI tools used by employees to advanced AI systems supporting analytics, automation, and strategic planning, AI technologies are now embedded across business functions. While these capabilities deliver significant productivity gains and innovation opportunities, they also introduce new, complex, and often hidden risks that traditional governance and risk management approaches were not designed to handle.

One of the major challenges organizations face today is Shadow AI—the use of AI tools, systems, or AI-enabled features without formal approval, documentation, or governance oversight. Many teams adopt AI solutions independently to solve immediate business problems, often without understanding the implications for data protection, cybersecurity, ethics, compliance, or accountability. This can create unseen exposure to data leakage, biased decision-making, regulatory violations, and reputational damage.

Managing AI risk now requires more than technical safeguards or high-level policies. It demands a structured, risk-based, and practical approach that integrates AI governance into enterprise risk management, compliance, cybersecurity, and digital transformation initiatives. Organizations must be able to identify where AI is being used, understand the level of risk involved, and implement proportionate controls—while still enabling innovation and productivity.

This training course equips participants with a comprehensive understanding of AI risk and Shadow AI within organizations. It provides the knowledge, tools, and practical frameworks needed to identify AI-related risks, assess their impact, implement effective controls, and embed responsible AI practices into everyday operations. The course bridges governance, risk, compliance, and operational perspectives to support secure, ethical, and sustainable AI adoption.

Key takeaways from this course include:

Understanding the nature of AI risk and how it differs from traditional IT risk
Identifying Shadow AI and its hidden impact on organizational governance
Recognizing AI risk across business functions and operational workflows
Learning practical frameworks for AI risk assessment and control design
Integrating AI risk management into ERM, compliance, and cybersecurity strategies

Objectives

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

Understand the nature of AI risk and how it differs from traditional IT risk
Explain the concept of Shadow AI and its impact on organizations
Identify AI and Shadow AI risks across business functions
Assess AI risks using structured, risk-based methodologies
Design controls to manage and mitigate AI and Shadow AI risks
Integrate AI risk management into enterprise governance and ERM frameworks
Support responsible, secure, and compliant AI adoption

This course is designed to build a strong foundation in AI risk management and Shadow AI governance. Participants will gain practical skills to recognize AI risk indicators, document AI use cases, and apply risk-based controls across the organization. The training also emphasizes accountability, compliance, and ethical AI adoption while maintaining innovation and operational efficiency.

Training Methodology

This training course uses a variety of proven adult learning techniques to ensure maximum understanding, comprehension, and retention of the information presented. Participants will experience an interactive learning environment that blends theoretical knowledge with practical application.

The course combines lecture-led sessions with group discussions and real-world case studies. This approach encourages participants to share experiences, ask questions, and learn from the perspectives of peers from different industries. Practical workshops are included to enable participants to apply concepts directly to their own organizational context.

Participants will also engage in risk assessment exercises and control design workshops, enabling them to practice identifying Shadow AI, mapping AI use cases, and developing mitigation strategies. The methodology ensures that learning is not only informative but also actionable, equipping participants with tools they can immediately implement in their workplace.

Who Should Attend?

This training course is suitable for professionals across various industries who are involved in governance, risk, compliance, and AI-related decision-making. It is particularly beneficial for individuals who need to understand the evolving landscape of AI risk and how to manage it effectively within their organization.

The course is ideal for those responsible for ensuring secure and compliant AI adoption, managing data protection and cybersecurity, or leading digital transformation initiatives. It is also valuable for professionals who want to build practical skills in identifying and controlling Shadow AI within their teams or departments.

This course will benefit:

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

Course Outline

Day 1: Foundations of AI Risk and Shadow AI

Overview of Artificial Intelligence in modern organizations
How AI is used across operations, services, and decision-making
Understanding AI risk: definitions, scope, and drivers
Differences between IT risk, digital risk, and AI risk
Introduction to Shadow AI: concepts, causes, and examples
Shadow AI versus Shadow IT
Why Shadow AI emerges in organizations
Introduction to AI governance and accountability
Discussion: Identifying AI and Shadow AI use within participants’ organizations

Day 3: Identifying and Assessing AI & Shadow AI Risks

Mapping AI use across business units
Identifying informal and unapproved AI usage
Indicators and red flags of Shadow AI
Risk classification of AI use cases
AI risk assessment methodologies
Impact and likelihood analysis
Risk registers and documentation requirements
Assessing risk in generative AI tools
Workshop: Conducting an AI and Shadow AI risk assessment

Day 4: Managing and Controlling AI Risk

Principles of risk-based AI governance
AI acceptable-use policies and employee guidelines
Managing employee use of generative AI
Data governance and access controls
Human-in-the-loop (HITL) and human-on-the-loop (HOTL) controls
Monitoring, logging, and auditability
Managing third-party and vendor AI risks
Incident response and escalation for AI misuse
Workshop: Designing AI risk controls and mitigation actions

Day 5: Governing Shadow AI and Embedding AI Risk Management

Shadow AI as a governance and cultural challenge
Bringing Shadow AI into controlled environments
Approved AI tools, platforms, and innovation sandboxes
Roles, responsibilities, and accountability for AI risk
Integrating AI risk into enterprise risk management (ERM)
Aligning AI risk management with ESG and organizational values
Measuring AI and Shadow AI risk maturity
Developing an AI risk and Shadow AI roadmap
Capstone Exercise: Creating an AI risk and Shadow AI management action plan
Course review and implementation next steps

Providers and Associations

Certificate

COPEX Certificate of Attendance will be provided to delegates who attend and complete the course

Material published by Copex shown here is copyrighted. All rights reserved. Any unauthorized copying, distribution, use, dissemination, downloading, storing (in any medium), transmission, reproduction or reliance in whole or any part of this course outline is prohibited and will constitute an infringement of copyright.

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Led by a passionate leadership team and supported by a network of world-class trainers, COPEX Training connects professionals worldwide with life-changing opportunities. We are committed to excellence, ensuring every participant leaves with the tools, expertise, and confidence to conquer an ever-evolving world.

Related Categories

Artificial Intelligence (AI)

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Our cancellation policy varies depending on the circumstances presented. Generally, cancellations must be initiated in formal writing at least 14 days prior to the commencement date of the training course. Further, the option to shift an existing registration to another training course on a later date is possible. Otherwise, a full refund will be initiated.

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