Understanding and Managing AI Risk & Shadow AI in Organizations

Upcoming Sessions

Classroom sessions
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 2: AI Risk Categories and Organizational Impact

  • Strategic and decision-making risks
  • Operational and performance risks
  • Data privacy and confidentiality risks
  • Cybersecurity and intellectual property risks
  • Ethical, bias, and fairness risks
  • Legal and regulatory compliance risks
  • Reputational and trust-related risks
  • How Shadow AI amplifies AI risk exposure
  • Case Study: Lessons learned from AI risk incidents

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

Anderson
Aztech Training
Coventry

Certificate

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

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Yes, and we'd love to make that happen. COPEX  specialises in fully customised in-house training, adapting course content to align with your organisation's unique goals, culture, and industry demands. Get in touch with us directly and we'll craft the right solution for your team.

Yes, the choice is yours. The Understanding and Managing AI Risk & Shadow AI in Organizations Training Course  runs in a traditional classroom setting across various international locations, and it's also available as a live online programme for those who prefer to learn from wherever they are. Pick the format that fits your lifestyle and schedule best.

Not at all. The Understanding and Managing AI Risk & Shadow AI in Organizations Training Course doors are open to everyone, regardless of your background or how many years you've been in the industry. That said, having some familiarity with the subject area can help you get even more out of the experience.

Our team is available around the clock — 24 hours a day, 7 days a week — ready to answer any question you have. Whether you need help choosing the right course, completing your registration, or sorting out logistics, we're here for you.

Expect an engaging, hands-on journey — not a room full of slides and passive listening. COPEX’s delivery blends presentations with group discussions, real-world case studies, practical exercises, and collaborative workshops. The goal is simple: everything you learn, you can use immediately back at work.

You'll be in good hands. COPEX hosts its courses in premium 4-star and 5-star hotels, with professional, fully equipped training spaces designed for focus and comfort. Throughout each day, you'll enjoy refreshment breaks with coffee and snacks, plus a complimentary lunch following every session.

This Understanding and Managing AI Risk & Shadow AI in Organizations Training Course welcomes professionals from all walks of corporate life — whether you're a seasoned manager, an emerging team leader, a subject-matter specialist, or simply someone driven to grow in their field. If you're serious about advancing your career and deepening your expertise, this course was built with you in mind.

Absolutely. Every participant who successfully completes the Understanding and Managing AI Risk & Shadow AI in Organizations Training Course earns an COPEX Certificate of Completion — a recognised mark of professional achievement. Depending on the specific course, it may also qualify for Training credits, which will be clearly noted in the course details.

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