A Highly Interactive Training Course On
Understanding and Managing AI Risk & Shadow AI in Organizations
Identifying, Assessing, and Controlling AI Risks for Responsible and Secure AI Adoption
Upcoming Sessions
Course Introduction
Artificial Intelligence is rapidly becoming an integral 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.
A major emerging challenge is Shadow AI—the use of AI tools, systems, or AI-enabled features without formal approval, documentation, or governance oversight. In many organizations, employees and departments adopt AI solutions independently to solve immediate business problems, often without understanding the implications for data protection, cybersecurity, ethics, compliance, or accountability. As a result, organizations may face unseen exposure to data leakage, biased or unreliable decision-making, regulatory violations, and reputational damage.
Managing AI risk today 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 course provides participants with a comprehensive understanding of AI risk and Shadow AI within organizations. It equips professionals with 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 program bridges governance, risk, compliance, and operational perspectives to support secure, ethical, and sustainable AI adoption.
Training 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
Training Methodology
This training course will utilise a variety of proven adult learning techniques to ensure maximum understanding, comprehension and retention of the information presented. This includes an interactive mixture of lecture-led learning & group discussions.
Who should Attend?
This training course is suitable to a wide range of professionals but will greatly 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
- 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
- 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
- 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
- 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
- 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
Certificates
- COPEX Certificate of Attendance will be provided to delegates who attend and complete the course
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Upon successful registration, processing window will take not more than 24 hours from the time of registration. An email including the registration confirmation, invoice and joining instructions will be sent to the provided email address.
Published training course fees are inclusive of the training venue, training manual, writing materials, lunch and coffee breaks with refreshments over the entire duration of the training course.
The training course fee can be settled by either:
- Bank transfer
- Credit Card
Our training courses will run for 5 hours per day. The standard daily timing is from 8:30 am – 3:30 pm including the coffee/tea breaks and lunch.
Our training courses courses are being held at five-star hotels in prime and iconic destinations across the globe. Cities such as Amsterdam, Barcelona, Dubai, Geneva, Istanbul, Kuala Lumpur, London, Houston, New York, Paris, Vienna, Zurich, etc.
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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