Shadow AI Risk and Governance Training Course

Name: Shadow AI Risk and Governance Training Course
Availability: InStock

Discover and control unmanaged AI use through risk tiers, data safeguards, vendor review, approved alternatives, and monitoring.

At a glance

Duration: 5 days
Format: Classroom
Cities: Bangkok, Baku, Abu Dhabi, Muscat, Vienna, Tashkent and more
Next session: 11 – 15 October 2026, Bangkok
Average fee: 5,800 €

Home
Our Categories
Shadow AI Risk and Governance Training Course

Download Brochure (PDF) Print PDF

Overview

The Shadow AI Risk and Governance Training Course is a five-day intermediate course for risk managers, compliance teams, information security teams, technology leaders, procurement teams, and business managers who leave with a Shadow AI Control Plan. The course connects use discovery, business need, data exposure, risk tiering, vendor review, approved alternatives, policy, monitoring, incident response, and adoption measures. Agile Leaders Training Center delivers this course on shadow AI risk and governance.

Who Should Attend

Risk functions responsible for identifying, assessing, and treating technology risk
Security functions responsible for data exposure, access, monitoring, and response
Compliance functions responsible for policy, evidence, and control assurance
Technology functions responsible for approved AI services and application visibility
Procurement functions responsible for supplier review and contractual controls
Business functions responsible for AI use cases and employee adoption

The course assumes participants contribute to risk, technology, procurement, or business controls and leaves out penetration testing, legal opinions, and product implementation.

Departments and Industries

The course supports shadow AI control decisions across regulated and operational environments.

Risk, compliance, and internal control functions
Cybersecurity, technology, and data governance teams
Finance and professional services
Healthcare and education services
Manufacturing, logistics, and energy operations

Learning Objectives

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

Analyze shadow AI usage patterns and underlying business needs
Build an inventory of tools, users, data flows, and owners
Apply risk tiers to data, security, compliance, and action exposure
Evaluate vendors, controls, approved alternatives, and exceptions
Prioritize monitoring, response, education, and enforcement actions
Create a Shadow AI Control Plan

Course Agenda

Day 1: Shadow AI Context and Discovery

Shadow AI Definition and Use Scenario Map
Business Need and Approved Capability Gap Canvas
Application Agent and API Discovery Source Register
User Group Usage Pattern and Data Transfer Analysis
Shadow AI Inventory and Ownership Template

Day 2: Risk Assessment and Prioritization

NIST AI RMF Govern Map Measure Manage Application
Data Sensitivity and Exposure Path Matrix
Security Compliance Legal and Action Risk Scorecard
Human Oversight and Decision Impact Assessment
Shadow AI Risk Tier and Treatment Register

Day 3: Vendor and Control Design

AI Supplier Security and Governance Review Checklist
Contract Data Use Retention and Audit Question Set
Identity Access and Least Privilege Control Map
Approved Tool and Alternative Service Decision Matrix
Exception Request and Compensating Control Record

Day 4: Governance Monitoring and Response

Shadow AI Policy and Acceptable Use Structure
Application Usage and Data Exposure Monitoring Dashboard
Education Communication and Reporting Path Plan
AI Incident Triage and Escalation Protocol
Control Effectiveness and Adoption Measurement Framework

Day 5: Shadow AI Control Practice

Suggested Exercise: Usage Discovery and Inventory Review
Suggested Exercise: Data Exposure and Risk Tier Assessment
Suggested Exercise: Vendor and Approved Alternative Decision
Suggested Exercise: Incident and Exception Response Simulation
Capstone Exercise: Shadow AI Control Plan

Practical Exercises

The course includes suggested activities for moving from invisible AI use to proportionate organizational control.

Suggested activity: map an unmanaged AI use case, data flow, user group, and owner.
Suggested activity: assign a risk tier and document treatment options.
Suggested activity: compare a vendor and approved alternative against defined controls.
Suggested activity: present a Shadow AI Control Plan with discovery, monitoring, education, response, and measures.

FAQs

Who suits the Shadow AI Risk and Governance Training Course?

Risk, compliance, security, technology, procurement, and business managers suit the course; it assumes involvement in AI use, governance, or organizational controls.

How does shadow AI risk differ from general AI governance?

Shadow AI risk focuses on unauthorized or unmanaged tools, agents, APIs, users, and data flows that are outside established inventory, approval, monitoring, and control processes.

Why do employees use shadow AI?

Employees may use shadow AI when approved options are unavailable, difficult to access, poorly matched to tasks, or less convenient than public tools, making unmet needs part of the risk assessment.

How should organizations respond to discovered shadow AI?

Organizations should assess use, data, impact, and need; then select education, migration, approval, monitoring, restriction, exception, or blocking actions proportionate to the risk.

What belongs in a Shadow AI Control Plan?

A Shadow AI Control Plan links discovery sources, inventory, risk tiers, vendors, approved alternatives, policies, controls, exceptions, monitoring, incident response, owners, and measures.

Conclusion

Participants leave with a Shadow AI Control Plan connecting visibility, business need, data exposure, risk tiers, approved options, monitoring, and response. The work product changes hidden AI usage into documented control decisions. It gives teams a reusable structure for vendor review, exceptions, education, enforcement, incidents, and performance measurement.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Download Brochure (PDF) Print PDF

Showing 61-76 of 76 events

Location	Dates	Duration	Mode	Price
Lisbon	Week 32, 2027 9 – 13 August 2027	5 Days	Onsite	€5,700
Langkawi	Week 32, 2027 15 – 19 August 2027	5 Days	Onsite	€6,000
Paris	Week 33, 2027 16 – 20 August 2027	5 Days	Onsite	€5,700
Rome	Week 34, 2027 23 – 27 August 2027	5 Days	Onsite	€5,700
Abu Dhabi	Week 34, 2027 23 – 27 August 2027	5 Days	Onsite	€4,700
Casablanca	Week 35, 2027 30 August – 3 September 2027	5 Days	Onsite	€4,100
Vienna	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€5,700
Singapore	Week 36, 2027 6 – 10 September 2027	5 Days	Onsite	€5,700
Milan	Week 37, 2027 13 – 17 September 2027	5 Days	Onsite	€5,700
Madrid	Week 38, 2027 20 – 24 September 2027	5 Days	Onsite	€5,700
Cape town	Week 38, 2027 26 – 30 September 2027	5 Days	Onsite	€4,500
Kuala Lumpur	Week 39, 2027 27 September – 1 October 2027	5 Days	Onsite	€5,200
Trabzon	Week 39, 2027 3 – 7 October 2027	5 Days	Onsite	€6,800
Amsterdam	Week 40, 2027 4 – 8 October 2027	5 Days	Onsite	€5,700
Paris	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€5,700
Porto	Week 41, 2027 11 – 15 October 2027	5 Days	Onsite	€5,700

Frequently asked questions

What does this course cover?

OverviewThe Shadow AI Risk and Governance Training Course is a five-day intermediate course for risk managers, compliance teams, information security teams, technology leaders, procurement teams, and business managers who leave with a Shadow AI Control Plan. The course connects use discovery, business need, data exposure, risk tiering, vendor review, appr…

Are training dates available?

Yes. Available dates and destinations are listed in the course dates section on this page.

How can I register?

Choose an available date on this page and complete the registration form, or send a programme enquiry.

Can I download the course brochure?

Yes. Use the brochure download link provided on this page.

Shadow AI Risk and Governance Training Course