Course Schedules

Classroom 12 Sessions
Online / Live
Live

Training Course Overview

Understanding and Managing AI Risk & Shadow AI in Organizations Training Course provides professionals with a structured approach to identifying, assessing, and controlling emerging risks associated with artificial intelligence. As organisations increasingly adopt AI tools across departments, many systems are introduced informally through employee-led initiatives, creating the phenomenon known as Shadow AI. This uncontrolled use can expose organisations to data privacy breaches, cybersecurity vulnerabilities, regulatory non-compliance, and reputational damage.

This AI Risk & Shadow AI Training Course explains how AI risk differs from traditional IT and digital risk, and why organisations must adopt governance frameworks that balance innovation with responsible oversight. Participants explore practical approaches to mapping AI use, assessing risk exposure, and implementing effective governance controls.

Through real organisational scenarios and risk-based frameworks, the course equips professionals to manage AI adoption safely, ensuring that innovation remains secure, ethical, and aligned with organisational objectives.

Training Course Objectives

This AI Risk & Shadow AI Training Course develops the capability to identify, assess, and manage AI-related risks using a structured governance and risk management approach. It strengthens organisational readiness to oversee both approved AI systems and emerging Shadow AI usage.

Participants will:

  • Understand how AI risk differs from traditional IT and digital risk models

  • Explain the concept of Shadow AI and its implications for organisational governance

  • Identify AI and Shadow AI usage across business units and operational processes

  • Classify AI use cases according to potential risk exposure

  • Apply structured methodologies for AI risk assessment and evaluation

  • Design practical governance and control measures to mitigate AI-related risks

  • Integrate AI risk management into enterprise risk management (ERM) frameworks

  • Support responsible, secure, and compliant AI adoption across the organisation

Designed for

This Understanding and Managing AI Risk & Shadow AI in Organizations Training Course is designed for professionals responsible for governance, oversight, compliance, and risk management in environments where artificial intelligence tools are increasingly used.

The course is particularly valuable for organisations facing rapid AI adoption while responding to growing regulatory, ethical, and operational expectations around responsible AI use.

This training course will greatly benefit:

  • Senior executives and organisational decision-makers

  • Governance, Risk, and Compliance (GRC) professionals

  • Enterprise risk managers and internal auditors

  • IT, cybersecurity, and data protection specialists

  • Compliance and legal professionals

  • Digital transformation and innovation leaders

  • Public sector professionals and regulated industry specialists

  • Professionals responsible for AI oversight, governance, and accountability

Learning Methods

This AI Risk & Shadow AI Training Course uses a practical, governance-focused learning approach designed to connect theory with real organisational practice. Instructor-led sessions introduce the foundations of AI risk, Shadow AI dynamics, and governance frameworks in a structured and accessible way.

Participants examine case studies demonstrating how unmanaged AI usage can lead to operational disruptions, regulatory penalties, and reputational risks. Guided discussions encourage professionals to analyse how AI and Shadow AI appear within their own organisational environments.

Interactive workshops provide hands-on experience in identifying AI usage, conducting structured risk assessments, and designing proportionate governance controls. Participants also explore how AI risk management integrates with enterprise risk management, compliance processes, and cybersecurity practices.

This practical learning approach ensures participants can translate concepts into actionable governance strategies for secure and responsible AI adoption.

Course Content

Day 1

Day One: 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

Day Two: 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

Day Three: 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

Day Four: 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

Day Five: 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

The Certificate

Recognition
  • Anderson Certificate of Completion for delegates who attend and complete the training course
FREQUENTLY ASKED QUESTIONS

Learn more about this course

Yes. The Understanding and Managing AI Risk & Shadow AI in Organizations training course can be customised and delivered exclusively for organisations seeking a tailored learning solution. Course content can be adapted to address specific business objectives, operational challenges, industry requirements, and organisational priorities. Customised training allows teams to focus on the topics most relevant to their roles while supporting wider organisational development goals.

No. The Understanding and Managing AI Risk & Shadow AI in Organizations training course is open to professionals from a wide range of backgrounds and experience levels. The course content is structured to provide value to both those who are new to the subject and experienced practitioners seeking to deepen their expertise. While some prior knowledge may enhance understanding of certain concepts, it is not a requirement for participation

The Understanding and Managing AI Risk & Shadow AI in Organizations training course uses a variety of learning approaches to maximise participant engagement and knowledge retention. These may include expert-led presentations, practical exercises, case studies, group discussions, scenario-based activities, and collaborative learning opportunities. This approach encourages active participation and helps participants translate learning into practical workplace results.

The Understanding and Managing AI Risk & Shadow AI in Organizations training course is suitable for professionals who want to expand their knowledge, strengthen their practical skills, and improve their effectiveness within their current or future roles. It is valuable for managers, team leaders, supervisors, specialists, consultants, and professionals seeking to stay current with industry developments and best practices. Whether your goal is career advancement, improved decision-making, or enhanced workplace performance, this course provides relevant knowledge and practical insights to support your professional ambitions.

If you would like additional information about the Understanding and Managing AI Risk & Shadow AI in Organizations training course, our professional support team is available to assist with course enquiries, registration guidance, group bookings, and customised training requirements. We are committed to helping you identify the most suitable learning solution for your professional development goals.

 

Participants attending the Understanding and Managing AI Risk & Shadow AI in Organizations training course gain access to valuable industry insights, practical techniques, and internationally recognised best practices. The course helps professionals improve performance, strengthen confidence, broaden their perspective, and develop skills that contribute to both personal and organisational success. It also provides an excellent opportunity to exchange ideas and experiences with professionals from diverse sectors and backgrounds.

The Understanding and Managing AI Risk & Shadow AI in Organizations training course combines practical knowledge, current industry practices, and expert guidance to create a highly relevant learning experience. Rather than focusing solely on theory, the course emphasises practical application, enabling participants to develop skills and approaches that can be implemented directly within their organisations. This balance of knowledge and practical relevance helps participants achieve meaningful and lasting professional impact.

Yes. Participants who successfully complete the Understanding and Managing AI Risk & Shadow AI in Organizations training course will receive a Anderson Certificate of Completion, demonstrating their commitment to professional development and continuous learning. This certificate provides formal recognition of the knowledge and skills gained during the course and can support professional growth and career progression.

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