Shadow AI: AI Risk Management and Governance
Reduce Shadow AI Risks With Practical Governance
Hours
Lectures
Content
About This Course
One unapproved AI prompt can expose sensitive data, weaken trust, and create legal, privacy, security, and business risks. Shadow AI: AI Risk Management and Governance helps professionals understand unauthorized AI use and manage its risks responsibly. The course covers Shadow AI, Shadow IT, hallucinations, bias, cybersecurity, AI governance, risk discovery, data-flow mapping, risk assessment, risk registers, safe-use controls, monitoring, and incident response. Learners will also explore employee training, approved tools, and governance frameworks such as NIST AI RMF and ISO/IEC 42001 to reduce hidden AI exposure and support responsible workplace AI adoption.
What You'll Learn
- Understand what Shadow AI means and how it differs from Shadow IT.
- Identify why employees use unauthorized AI tools and features.
- Recognize data leakage, hallucinations, bias, and cybersecurity risks.
- Understand privacy, legal, employment, and human oversight duties.
- Discover unauthorized AI tools and map related data flows.
- Classify AI risks and create practical risk registers.
- Apply policies, vendor reviews, DLP, access controls, and audit trails.
- Use monitoring, incident response, NIST AI RMF, and ISO/IEC 42001.
Requirements
- No advanced AI, coding, or technical background required.
- Basic familiarity with workplace technology, digital tools, or business systems is helpful
- Interest in understanding Shadow AI, AI risk management, and AI governance.
- Suitable for compliance, risk, IT, cybersecurity, legal, privacy, HR, audit, governance, and business leadership professionals.
- Access to a computer, tablet, or mobile device with internet connectivity.
This Course Includes
- 6 hours of self-paced online learning.
- Practical training on Shadow AI, AI risk management, and AI governance.
- Downloadable checklists and workplace reference guides.
- Knowledge checks to reinforce learning.
- Mobile and desktop access.
- Professional Certificate of Completion.
Who Is This Course For?
This course is designed for compliance professionals, risk managers, IT and cybersecurity teams, privacy and data protection professionals, legal and governance teams, HR and workplace leaders, internal auditors, AI governance professionals, and business managers responsible for safe AI adoption. It is also suitable for organizational leaders who need to identify unauthorized AI use, assess related risks, protect sensitive information, apply governance controls, and support responsible AI use across the workplace.
Certification
Compliance and Regulatory Alignment
This course aligns with key AI governance and risk management expectations, including responsible AI use, data protection, privacy controls, cybersecurity discipline, employment decision risk, professional accountability, human oversight, audit trails, monitoring, and incident response. It also introduces continuous improvement concepts connected to NIST AI RMF and ISO/IEC 42001, helping learners understand how organizations can manage Shadow AI through structured policies, approved tools, risk registers, vendor review, prompt controls, DLP, access management, and documented oversight.
Why Compliance Training Matters
Shadow AI often begins with good intentions, but one unapproved tool can expose confidential data, produce inaccurate outputs, influence unfair decisions, or create legal and security risks. Without training, employees may use public AI tools, personal accounts, browser extensions, APIs, or AI agents without realizing the consequences. Compliance training helps organizations bring AI use into the open, guide employees toward approved tools, protect sensitive information, verify AI outputs, and reduce hidden risk before it becomes an incident.
Career Benefits
Shadow AI governance is becoming an important skill as organizations adopt AI faster than traditional controls can keep up. Completing this course can help learners strengthen their qualifications for roles in AI governance, compliance, risk management, cybersecurity, privacy, legal operations, HR governance, internal audit, vendor risk, and digital transformation. It is especially valuable for professionals who want to help organizations manage unauthorized AI use while still supporting innovation, productivity, and responsible AI adoption.
Course Curriculum
24 •6 hours
Module 1: Understanding Shadow AI in Modern Organizations
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What Shadow AI Means in Global Workplaces
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How Shadow AI Differs from Shadow IT
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Why Employees Use Unapproved AI Tools
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Business, Legal, and Security Exposure from Shadow AI
Module 2: Shadow AI Risk Landscape
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Data Leakage and Confidential Information Exposure
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AI Hallucination, Error, and Unverified Output Risk
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Bias, Discrimination, and Unfair Decision-Making
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Cybersecurity Risks from AI Tools, Extensions, and APIs
Module 3: Global AI Governance and Legal Duties
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EU AI Act, Global AI Laws, and Regulatory Expectations
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Privacy, Data Protection, and Sensitive Information Controls
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Labor, Employment, and Workplace Decision Risks
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Professional Standards, Accountability, and Human Oversight
Module 4: Shadow AI Discovery and Risk Assessment
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Identifying Unauthorized AI Tools and Use Cases
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Mapping Data Flows, Users, Vendors, and Business Functions
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Classifying AI Use by Risk Level and Business Impact
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Building a Shadow AI Risk Register and Control Map
Module 5: Governance Controls and Safe AI Use
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AI Acceptable Use Policies and Employee Guidance
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Approved AI Tools, Vendor Review, and Procurement Controls
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Prompt Controls, Data Loss Prevention, and Access Management
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Human Review, Documentation, and Audit Trails
Module 6: Monitoring, Incident Response, and Program Maturity
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Runtime Monitoring for AI Tools, Agents, and Integrations
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AI Incident Response, Containment, and Reporting
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Training, AI Literacy, and Responsible Workplace Adoption
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Continuous Improvement Using NIST AI RMF and ISO/IEC 42001
Frequently Asked Questions
This course explains how employees may use unapproved AI tools at work and how organizations can identify, assess, govern, and control those risks. It focuses on data privacy, security, legal duties, safe AI use, monitoring, and responsible adoption.
Shadow AI can expose sensitive data, create inaccurate outputs, influence unfair decisions, and weaken accountability. The risk grows because these tools may be used outside approved systems, policies, vendor reviews, and audit trails.
No. This course is designed for both technical and non-technical professionals. It explains Shadow AI risks and controls in practical workplace language, without requiring coding or advanced AI knowledge.
Yes. Learners will explore acceptable use policies, approved AI tools, vendor review, prompt controls, data loss prevention, access management, human review, documentation, audit trails, monitoring, and incident response.
Yes. Upon successful completion of Shadow AI: AI Risk Management and Governance, you will receive a Certificate of Completion recognizing your completion of the course and training in Shadow AI risks, AI governance, risk assessment, and practical controls.