Organizational AI Security Champion Course

Coordinate AI asset discovery, risk scenarios, secure-use guidance, monitoring, incidents, and governance across the organization.
Organizational AI Security Champion Course

At a glance

Duration
5 days
Format
Classroom
Cities
Tokyo, Abu Dhabi, Nairobi, Frankfurt, Kuala Lumpur, Jakarta and more
Next session
12 – 16 October 2026, Tokyo
Average fee
5,800 €

Overview

Organizational AI Security Champion Practice Course is a five-day foundation course for security champions, cyber risk teams, IT managers, governance professionals, application owners, and business leaders, who leave with an AI Security Champion Action Plan. Participants discover AI assets and use cases, examine threat and misuse scenarios, coordinate data, prompt, access, and third-party controls, guide employees, and connect incidents, monitoring, awareness, and governance. Agile Leaders Training Center provides training in organizational AI security champion practice.

Who Should Attend

  • Security champions responsible for connecting teams with security guidance and escalation
  • Cyber risk teams responsible for identifying threats, controls, and monitoring needs
  • IT management teams responsible for approved tools, access, and service oversight
  • Governance teams responsible for policies, roles, evidence, and review gates
  • Application owners responsible for AI use cases, data, suppliers, and user behavior
  • Business leaders responsible for safe adoption and accountable decisions

The course assumes participants support AI adoption, security, risk, or governance decisions and leaves out coding, model development, penetration testing, detailed technical architecture, and vendor administration.

Departments and Industries

The course supports AI security champion practice across technology, risk, and business functions.

  • Cybersecurity, information technology, and service management
  • Risk, governance, privacy, legal, and internal control
  • Operations, product, procurement, and transformation teams
  • Financial services, healthcare, retail, and professional services
  • Manufacturing, education, utilities, and public services

Learning Objectives

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

  • Build an inventory of AI assets and use cases
  • Analyze threat, misuse, data, prompt, and supplier scenarios
  • Apply access, review, monitoring, and escalation controls
  • Evaluate secure-use guidance and employee awareness needs
  • Build incident coordination and governance evidence
  • Prioritize an AI security champion action plan

Course Agenda

Day 1: AI Asset and Use-Case Discovery

  • AI Asset and Tool Inventory
  • Business Use-Case and Owner Register
  • Data Flow and Information Classification Map
  • AI Dependency and Third-Party Profile
  • Security Champion Stakeholder Network

Day 2: Threat and Misuse Scenario Analysis

  • AI Threat and Misuse Scenario Canvas
  • Prompt and Input Risk Checklist
  • Data Exposure and Leakage Pathway Map
  • Output Manipulation and Reliability Review
  • Risk Likelihood and Impact Matrix

Day 3: Adoption Controls and Employee Guidance

  • Approved AI Use and Data Boundary Guide
  • Identity, Access, and Authorization Checklist
  • Source Grounding and Content Filter Review
  • Supplier Security Due-Diligence Questions
  • Employee Secure-Use Conversation Guide

Day 4: Incidents, Monitoring, and Governance

  • AI Security Signal and Monitoring Register
  • Incident Triage and Escalation Pathway
  • Human Approval and Override Decision Map
  • AI Security Policy Evidence Checklist
  • Control Owner and Review Calendar

Day 5: Security Champion Practice

  • Suggested Exercise: Discover AI Assets and Owners
  • Suggested Exercise: Analyze Threat and Misuse Scenarios
  • Suggested Exercise: Design Secure Adoption Guidance
  • Suggested Exercise: Coordinate Incident and Governance Controls
  • Capstone Exercise: AI Security Champion Action Plan

Practical Exercises

The course uses suggested activities to turn AI adoption concerns into visible security champion actions.

  • Suggested activity: inventory tools, use cases, owners, data flows, dependencies, and stakeholders
  • Suggested activity: assess threats, misuse, prompts, data exposure, outputs, and risk priority
  • Suggested activity: design access, source, supplier, employee guidance, and monitoring controls
  • Suggested activity: coordinate escalation, human approval, evidence, owners, reviews, and action priorities

FAQs

Who suits organizational AI security champion practice training?

Organizational AI security champion practice training suits security champions, cyber risk teams, IT managers, governance professionals, application owners, and business leaders. It assumes responsibility for safe AI adoption, not technical security testing or model development.

How does an AI security champion course differ from technical AI security engineering?

An AI security champion course focuses on discovery, business guidance, risk scenarios, control coordination, awareness, escalation, monitoring, and governance. Technical AI security engineering focuses more deeply on architecture, testing, implementation, and code-level defenses.

What should an organizational AI security champion inventory?

An organizational AI security champion should inventory tools, use cases, accountable owners, users, data flows, information classes, access paths, suppliers, dependencies, decisions, review points, monitoring signals, and escalation contacts.

How should AI security champions handle unapproved AI use?

AI security champions should document the use case, assess data and decision exposure, explain approved alternatives, involve accountable owners, route urgent risks through escalation, preserve evidence, and support proportionate remediation.

What evidence supports AI security governance?

AI security governance evidence includes inventories, ownership records, risk scenarios, access decisions, data boundaries, supplier reviews, user guidance, approvals, monitoring records, incidents, exceptions, corrective actions, and scheduled control reviews.

Conclusion

Participants take back an AI Security Champion Action Plan connecting assets, use cases, threats, data, prompts, access, suppliers, employee guidance, incidents, monitoring, and governance. It makes champion responsibilities and escalation paths visible. It supports safer adoption, consistent communication, control follow-through, and evidence-based review.

credits: 5 credit per day

Course Mode: full-time

Provider: Agile Leaders Training Center

Showing 21-40 of 76 events
Image Location Dates Duration Mode Price Actions
Kuala Lumpur Kuala Lumpur Week 03, 2027
18 – 22 January 2027
5 Days Onsite €5,200
Munich Munich Week 04, 2027
25 – 29 January 2027
5 Days Onsite €5,700
Rome Rome Week 05, 2027
1 – 5 February 2027
5 Days Onsite €5,700
London London Week 06, 2027
8 – 12 February 2027
5 Days Onsite €5,700
Kuwait Kuwait Week 06, 2027
14 – 18 February 2027
5 Days Onsite €5,500
Geneva Geneva Week 07, 2027
21 – 25 February 2027
5 Days Onsite €6,200
Abu Dhabi Abu Dhabi Week 08, 2027
22 – 26 February 2027
5 Days Onsite €4,700
Nice Nice Week 09, 2027
1 – 5 March 2027
5 Days Onsite €5,700
Istanbul Istanbul Week 10, 2027
8 – 12 March 2027
5 Days Onsite €4,500
Singapore Singapore Week 10, 2027
8 – 12 March 2027
5 Days Onsite €5,700
Johannesburg Johannesburg Week 10, 2027
14 – 18 March 2027
5 Days Onsite €4,500
Vienna Vienna Week 12, 2027
22 – 26 March 2027
5 Days Onsite €5,700
Tbilisi Tbilisi Week 13, 2027
29 March – 2 April 2027
5 Days Onsite €5,000
Sharm El-Sheikh Sharm El-Sheikh Week 14, 2027
5 – 9 April 2027
5 Days Onsite €4,100
Barcelona Barcelona Week 14, 2027
5 – 9 April 2027
5 Days Onsite €5,700
Cairo Cairo Week 15, 2027
12 – 16 April 2027
5 Days Onsite €4,100
Rome Rome Week 15, 2027
12 – 16 April 2027
5 Days Onsite €5,700
Zanzibar Zanzibar Week 15, 2027
18 – 22 April 2027
5 Days Onsite €5,500
Dubai Dubai Week 16, 2027
19 – 23 April 2027
5 Days Onsite €4,500
Baku Baku Week 17, 2027
26 – 30 April 2027
5 Days Onsite €5,000

Frequently asked questions

What does this course cover?

OverviewOrganizational AI Security Champion Practice Course is a five-day foundation course for security champions, cyber risk teams, IT managers, governance professionals, application owners, and business leaders, who leave with an AI Security Champion Action Plan. Participants discover AI assets and use cases, examine threat and misuse scenarios, coordi…

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.

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