Shadow AI: AI Risk Management and Governance

Learn how to identify, assess, and manage the risks of unauthorized AI use in the workplace. This course covers Shadow AI governance, compliance, privacy, cybersecurity, risk management, and best practices for responsible AI oversight.

$29.98
  • 3 hours
  • English
  • Certificate
  • Online

Course Overview

Shadow AI: AI Risk Management and Governance is a professional training course designed for organizations and individuals that need to identify, assess, control, and monitor the use of unauthorized AI tools in the workplace. As employees increasingly use generative AI platforms, browser extensions, APIs, AI agents, and other AI-enabled tools without formal approval, organizations face new governance, legal, privacy, cybersecurity, and operational risks.

This course explains what Shadow AI means in modern workplaces, how it differs from Shadow IT, why employees rely on unapproved AI tools, and how these practices can create business, legal, and security exposure. Participants will examine the Shadow AI risk landscape, including data leakage, confidential information exposure, hallucinated outputs, bias, discrimination, unfair decision-making, cybersecurity risks, and vendor-related concerns.

The curriculum also covers global AI governance expectations, privacy and data protection duties, workplace decision risks, Shadow AI discovery, risk assessment, acceptable use policies, vendor review, prompt controls, access management, monitoring, incident response, AI literacy, and continuous improvement using NIST AI RMF and ISO/IEC 42001.

Course Includes

Participants will receive structured learning aligned with the course curriculum and focused on Shadow AI risk, governance, and workplace control, including:

  • Curriculum-based professional training

  • Shadow AI and Shadow IT concepts

  • AI risk management and governance knowledge

  • Privacy, legal, and workplace risk coverage

  • Shadow AI discovery and assessment principles

  • Monitoring, incident response, and maturity concepts

  • Certificate upon successful completion

What You'll Learn

  • Understand what Shadow AI means in global workplaces and how it differs from Shadow IT.
  • Identify why employees use unapproved AI tools and how this creates business, legal, privacy, and security exposure.
  • Analyze Shadow AI risks, including data leakage, confidential information exposure, hallucinations, errors, bias, and unfair decision-making.
  • Assess cybersecurity risks from AI tools, browser extensions, APIs, agents, vendors, and workplace integrations.
  • Evaluate global AI governance expectations, including AI laws, privacy duties, professional standards, accountability, and human oversight.
  • Apply methods for identifying unauthorized AI tools, mapping data flows, users, vendors, and business functions.
  • Implement governance controls such as acceptable use policies, vendor review, prompt controls, access management, documentation, and audit trails.
  • Monitor Shadow AI activity through incident response, reporting, employee training, AI literacy, and continuous improvement practices.

Requirements

No specific prior experience or qualifications are required to participate in this course. A general interest in AI governance, risk management, compliance, privacy, cybersecurity, vendor oversight, workplace technology, or responsible AI adoption may be helpful, but it is not mandatory.

Why Choose Us

This Shadow AI course is designed to help learners understand AI risk management and governance in a clear, structured, and workplace-relevant way.

  • Curriculum aligned with Shadow AI, AI governance, risk management, privacy, security, and assurance priorities
  • Clear coverage of unauthorized AI tools, data flows, vendors, business functions, and AI use classification
  • Professional training suitable for individual learners, business teams, and organizational decision-makers
  • Balanced focus on legal, operational, cybersecurity, employee, and governance risks
  • Workplace-relevant knowledge for compliance, privacy, security, audit, procurement, HR, and risk teams
  • Learner-focused structure that supports both technical and non-technical professional audiences
  • Professional development support through structured learning and successful-completion certification

Career path

This course supports professional development across roles that require knowledge of AI governance, risk management, compliance, privacy, security, and responsible workplace technology use.

Relevant career areas and responsibilities include:

  • AI Governance Management
  • Enterprise Risk Management
  • Compliance and Regulatory Risk Support
  • Privacy and Data Protection Governance
  • Information Security and Cyber Risk Management
  • Vendor and Third-Party Risk Management
  • Internal Audit and Assurance
  • Digital Transformation and Workplace Technology Oversight

Certification

Certification

A certificate is issued upon successful completion of the course. This certificate demonstrates that the participant has completed structured professional training in Shadow AI: AI Risk Management and Governance and has developed knowledge of the key subject areas covered in the curriculum.

Course Curriculum

6 sections24 lectures3 hours
▶ What Shadow AI Means in Global Workplaces
▶ How Shadow AI Differs from Shadow IT
▶ Why Employees Use Unapproved AI Tools
▶ Business, Legal, and Security Exposure from Shadow AI
▶ Data Leakage and Confidential Information Exposure
▶ AI Hallucination, Error, and Unverified Output Risk
▶ Bias, Discrimination, and Unfair Decision-Making
▶ Cybersecurity Risks from AI Tools, Extensions, and APIs
▶ EU AI Act, Global AI Laws, and Regulatory Expectations
▶ Privacy, Data Protection, and Sensitive Information Controls
▶ Labor, Employment, and Workplace Decision Risks
▶ Professional Standards, Accountability, and Human Oversight
▶ Identifying Unauthorized AI Tools and Use Cases
▶ Mapping Data Flows, Users, Vendors, and Business Functions
▶ Classifying AI Use by Risk Level and Business Impact
▶ Building a Shadow AI Risk Register and Control Map
▶ AI Acceptable Use Policies and Employee Guidance
▶ Approved AI Tools, Vendor Review, and Procurement Controls
▶ Prompt Controls, Data Loss Prevention, and Access Management
▶ Human Review, Documentation, and Audit Trails
▶ Runtime Monitoring for AI Tools, Agents, and Integrations
▶ AI Incident Response, Containment, and Reporting
▶ Training, AI Literacy, and Responsible Workplace Adoption
▶ Continuous Improvement Using NIST AI RMF and ISO/IEC 42001