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Understanding and Managing AI Risk & Shadow AI in Organizations

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

Understanding and Managing AI Risk & Shadow AI in Organizations

Course Schedule

Classroom

Online

Training Introduction

Artificial Intelligence is now embedded across modern organizations, influencing operations, analytics, automation, and strategic decision-making. From generative AI tools used by employees to advanced AI-driven systems, AI technologies are reshaping how businesses operate and compete. However, alongside innovation and efficiency gains, organizations are facing new categories of risk that traditional IT risk frameworks were not designed to address.

One of the most pressing concerns is Shadow AI—the unsanctioned or undocumented use of AI tools and AI-enabled features without governance oversight. While often adopted to improve productivity, Shadow AI can expose organizations to data privacy breaches, cybersecurity threats, regulatory non-compliance, biased decision-making, and reputational harm.

This AI Risk and Shadow AI Training Course provides a structured, risk-based approach to identifying, assessing, and managing AI-related risks. Participants will explore how to integrate AI governance into enterprise risk management (ERM), compliance, cybersecurity, and digital transformation initiatives—while maintaining innovation and operational agility.

Key Focus Areas of This Course:

  • Understanding AI risk and how it differs from traditional IT and digital risk
  • Identifying Shadow AI and recognizing unapproved AI usage across departments
  • Assessing AI risks using structured risk management methodologies
  • Designing proportionate controls for generative AI and advanced AI systems
  • Embedding AI governance within enterprise risk management frameworks
  • Developing a roadmap for responsible, secure, and sustainable AI adoption

What are the goals?

This AI Risk and Shadow AI Training Course is designed to equip participants with the knowledge and practical frameworks required to manage AI-related risks effectively. It bridges governance, compliance, cybersecurity, and operational perspectives to support structured and responsible AI adoption.

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

  • Understand the nature and drivers of AI risk and how it differs from traditional IT risk
  • Clearly explain the concept of Shadow AI and its organizational impact
  • Identify AI and Shadow AI risks across operations, services, and decision-making processes
  • Apply structured, risk-based methodologies to assess AI use cases
  • Classify AI risks based on impact, likelihood, and organizational exposure
  • Design and implement effective controls to mitigate AI and Shadow AI risks
  • Integrate AI risk management into governance structures and ERM frameworks
  • Support secure, compliant, and ethically responsible AI implementation

Who is this Training Course for?

This AI Risk Management Training Course is suitable for professionals responsible for governance, risk, compliance, cybersecurity, and digital transformation. It is particularly valuable for those seeking to understand and control the growing exposure associated with AI and Shadow AI within their organizations.

This training course is suitable to a wide range of professionals but will greatly benefit:

  • Senior executives and strategic decision-makers responsible for oversight
  • Governance, Risk & Compliance (GRC) professionals
  • Risk managers and internal audit professionals
  • IT, cybersecurity, and data protection teams
  • Compliance and legal professionals managing regulatory obligations
  • Digital transformation and innovation leaders
  • Public sector professionals and individuals working in regulated industries

How will this Training Course be Presented?

This AI Risk and Shadow AI Training Course will be delivered using proven adult learning techniques designed to maximize understanding, engagement, and practical application. The course combines structured lecture-led sessions with interactive discussions to ensure clarity around complex AI governance and risk concepts.

Participants will engage in practical workshops, case studies, and real-world scenario analysis. Activities include identifying AI usage within their organizations, conducting AI and Shadow AI risk assessments, and designing risk controls and governance frameworks.

This highly interactive format ensures that participants not only understand AI risk management principles but are also prepared to implement structured, risk-based AI governance practices within their own organizational environments.

The Course Content

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

Anderson

Aztech Training

Aztech Training

COPEX

COPEX

Frequently Asked Questions

Quick answers to common questions about this training course.

Absolutely. Coventry Academy provides customised in-house training solutions for organisations seeking a tailored learning experience. The Understanding and Managing AI Risk & Shadow AI in Organizations training course can be adapted to reflect your organisation's objectives, industry requirements, operational challenges, and strategic priorities. Delivered exclusively for your team, customised training enables organisations to maximise relevance, encourage collaboration, and achieve targeted development outcomes. Our team will be pleased to discuss your requirements and develop a solution that aligns with your goals.

Absolutely! If you’re attending one of our courses at an international venue, we can help
with hotel reservations and entry visas. Just reach out to our Customer Service team:

  • Phone: +971 4 420 8304
  • Fax: +971 4 420 8304
  • Email: info@coventryacademy.com

No prior experience is required to attend the Understanding and Managing AI Risk & Shadow AI in Organizations training course. The course is designed to accommodate participants from diverse professional backgrounds and varying levels of experience. While some familiarity with the subject matter may help participants gain additional value from certain discussions and activities, the course content is structured to ensure that both newcomers and experienced professionals can fully engage with the learning experience and benefit from the training.

Our dedicated support team is available to assist you with any questions regarding the Understanding and Managing AI Risk & Shadow AI in Organizations training course, including course content, scheduling, registration, corporate bookings, and customised training solutions. We are committed to providing prompt and professional assistance throughout your learning journey.

📞 Phone: +971 58 840 7925

📧 Email: info@coventryacademy.com

🌐 Website: coventryacademy.com

Registering for a course is super easy! Here’s how you can do it:

  • Online: Pick your course, hit the "REGISTER" button, fill out the form, and
    submit it.
  • Email: Drop us a line with your details at info@coventryacademy.com.
  • Phone: Give us a call at +971 4 420 8304 to book your spot.
  • Fax: Fill in the booking form (you’ll find it in our brochures, flyers, or catalogue)
    and fax it to [+971 4 420 8304](tel:+97144208304).

The Understanding and Managing AI Risk & Shadow AI in Organizations training course is designed to be practical, engaging, and highly interactive. Participants benefit from a dynamic learning environment that combines expert-led presentations, facilitated discussions, case studies, practical exercises, and collaborative learning activities. The focus is on developing knowledge that can be applied immediately within the workplace, ensuring participants gain both valuable insights and practical skills that support improved professional performance.

Your course fees cover:

  • For classroom courses: printed materials, lunch, and refreshments.
  • For online courses: all materials sent to you by email.
  • A certificate of completion or attendance.

You’ll need to make payment before the course starts. Here are your options:

  • Bank draft
  • Cash
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  • Wire transfer

Heads up: If we don’t receive payment before the course begins, we may have to deny
admission.

We delivers training courses in carefully selected professional venues that provide a comfortable and productive learning environment. Classroom-based courses are typically hosted in premium international venues with modern facilities and dedicated training spaces designed to support effective learning. Participants also benefit from a professional setting that encourages networking, collaboration, and knowledge sharing with peers from diverse industries and backgrounds.

The Understanding and Managing AI Risk & Shadow AI in Organizations training course is designed for professionals seeking to strengthen their knowledge, enhance their capabilities, and achieve greater impact within their organisations. It is suitable for managers, supervisors, team leaders, technical specialists, consultants, and professionals at all career stages who wish to expand their expertise and stay current with industry developments. Whether you are looking to advance your career, improve workplace performance, or prepare for new responsibilities, this course provides valuable knowledge and practical insights to support your professional growth.

Our courses are led by top-notch international instructors. They’re not just academically qualified—they’ve also got years of real-world experience. They bring practical insights and deep knowledge to every session, making your learning experience truly valuable!

Yes. Participants who successfully complete the Understanding and Managing AI Risk & Shadow AI in Organizations training course will receive a Coventry Academy Certificate of Completion, recognising their commitment to professional development and continuous learning. This certificate serves as formal evidence of participation and achievement and can support career progression, professional credibility, and ongoing development objectives. Where applicable, details regarding professional development credits or accreditation will be provided within the course information.

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