For experienced cybersecurity, GRC, privacy, audit, compliance, and risk professionals
Turn the experience you already have into practical AI governance capability in 90 days.
Build a 12-piece AI governance portfolio, practice real governance workflows, and learn how to position your existing expertise for AI governance opportunities through a structured program with weekly live coaching.
Starts October 5, 2026 • Live sessions Wednesdays at 8:00 PM Eastern • Limited to 25 members • 14 days satisfaction guarantee
You will be taken to the secure AI Governance Career Lab enrollment page.
3 of 12 portfolio artifacts — preview the actual work
12 Portfolio Artifacts
12 Weekly Live Sessions
No Coding Required
14 days Satisfaction Guarantee
You are not starting over.
AI governance is a new application of capabilities many experienced professionals already use. The opportunity is to translate those capabilities into AI-specific workflows, evidence, and language.
What you already know
- Risk assessment
- Control design
- Policy development
- Audit and assurance
- Privacy and data protection
- Security governance
- Vendor risk
- Incident response
- Executive reporting
What you need to add
- AI system inventories
- AI-specific risk classification
- Governance intake workflows
- Model and vendor oversight
- Human oversight requirements
- AI incident procedures
- Governance committees
- AI regulatory and framework mapping
What employers need to see
- Practical work samples
- Clear governance judgment
- Executive communication
- Structured implementation thinking
- Evidence that you can operationalize governance
The program helps you connect these three areas in a structured 90-day process.
Build an AI governance portfolio you can show, explain, and defend.
Each week produces a practical artifact based on a fictional enterprise case study. Together, the artifacts demonstrate how you approach governance work from intake through executive reporting.
AI System Inventory
Week 5
Document AI systems, ownership, use cases, data dependencies, vendors, and business impact.
AI Use-Case Intake Process
Week 5
Create a structured process for receiving, categorizing, and routing AI use-case requests.
AI Risk Classification Model
Week 6
Define criteria for categorizing AI use cases by risk level and governance requirements.
AI Risk Assessment
Week 6
Evaluate an AI use case across security, privacy, compliance, ethics, oversight, and operational risk.
Preview sampleAI Risk Register
Week 7
Consolidate identified risks with ownership, status, treatment decisions, and review schedules.
AI Governance Policy
Week 7
Establish organizational standards, requirements, and responsibilities for AI use and oversight.
Preview sampleAI Vendor Review
Week 8
Evaluate a third-party AI vendor across security, data handling, compliance, transparency, and oversight.
Preview sampleAI Governance Committee Charter
Week 8
Define governance committee structure, membership, authority, decision rights, and meeting cadence.
Governance RACI
Week 9
Map governance responsibilities across roles and functions for clarity and accountability.
AI Incident Response Procedure
Week 9
Outline detection, triage, escalation, and communication procedures for AI-related incidents.
Executive AI Governance Roadmap
Week 11
Translate governance priorities into a phased, leadership-ready implementation plan.
Portfolio Case Study
Week 12
Synthesize the full governance engagement into a cohesive narrative for professional use.
Portfolio assignments use a fictional business scenario (Northstar SaaS) and are intended to demonstrate analysis, decision-making, documentation, and communication skills.
Organizations need professionals who can operationalize AI governance.
The organizational challenge
AI is spreading across business processes, products, vendors, data environments, and decision-making workflows. Many organizations are struggling to establish ownership, oversight, documentation, controls, and accountability.
The capability gap
Policies and frameworks alone are not enough. Organizations need people who can create inventories, run assessments, assign ownership, evaluate vendors, document decisions, design oversight processes, and communicate priorities to leadership.
Your advantage
Experienced security, GRC, audit, privacy, compliance, and risk professionals already understand many of the disciplines required. The challenge is applying them to AI and presenting that capability with credibility.
A structured 90-day path from transferable experience to credible AI governance capability.
Phase 1 • Weeks 1–4
Translate your existing experience
- Week 1: AI Governance Career Landscape
- Week 2: AI Systems and Lifecycle Fundamentals
- Week 3: Frameworks, Regulation, and Obligations
- Week 4: Transferable Skills and Career Gap Analysis
Phase 2 • Weeks 5–8
Practice applied governance work
- Week 5: AI Intake, Inventory, and Ownership
- Week 6: AI Risk Classification and Assessment
- Week 7: Policies, Controls, and Governance Workflows
- Week 8: Vendor Governance and Operating Models
Phase 3 • Weeks 9–12
Build evidence and position yourself
- Week 9: Governance RACI and Incident Response
- Week 10: Executive Communication
- Week 11: Executive Governance Roadmap
- Week 12: Portfolio Case Study and Career Campaign
Week-by-week details
The 90-day structure is a recommended learning and portfolio-building path. It does not guarantee employment, promotion, certification, or a new job title within 90 days.
How the program works
Learn the weekly concept
Complete a focused lesson covering the week’s governance topic, decisions, and practical workflow.
Apply it to the case study
Use the templates and fictional enterprise scenario to create a realistic governance artifact.
Join the live implementation session
Work through challenges, examples, decisions, and common mistakes during a weekly group session.
Build your career evidence
Refine your work into a portfolio and learn how to explain your governance approach to employers and professional contacts.
Program details
Live sessions: Wednesdays at 8:00 PM Eastern
Replays: Available to all members
Coding required: No
Delivery: Online
Access: Lifetime access to core materials and community, subject to program terms
Participants who cannot attend live may watch the recording. Live attendance is encouraged but not required.
Designed for experienced professionals making an adjacent career move.
This program is a strong fit if you:
- Work in cybersecurity, GRC, privacy, compliance, audit, technology risk, data governance, or a related field
- Have professional experience but limited direct AI governance experience
- Want practical work samples rather than theory alone
- Are willing to complete weekly applied assignments
- Want to learn how to explain your experience in AI governance language
- Value structured group learning and professional community
This program may not be the right fit if you:
- Are seeking a guaranteed job or promotion
- Want a recognized professional certification
- Expect private one-on-one coaching
- Want someone else to complete your portfolio
- Are unwilling to complete applied work
- Need unlimited individual assignment review
Learn from a practitioner working across security, governance, and AI.
Adam DiStefano
Program Creator, Lead Instructor, and Weekly Coaching Host
Adam DiStefano is a cybersecurity and AI governance executive with more than a decade of experience across security operations, cloud and product security, vulnerability management, governance, risk, compliance, executive communication, and AI-related security and governance programs. He created AI Governance Career Lab to help experienced cybersecurity, GRC, privacy, compliance, audit, and risk professionals translate the expertise they already have into practical AI governance capability.
“I created this program because experienced governance and security professionals should not have to discard years of valuable experience to move into AI governance. They need a structured way to translate that experience, practice the work, and build evidence they can communicate with confidence.”
Program advisors
Adam leads the core instruction and weekly program sessions. Selected industry professionals provide advice on curriculum, governance practice, security leadership, and career positioning. Advisor participation in live sessions may vary unless a specific guest session is announced.
Greg Crowley
AI Governance and Security Advisor
Greg Crowley is a board-level Chief Information Security Officer with more than 20 years of experience in enterprise cybersecurity, risk management, and strategic security leadership. He specializes in bridging the gap between technical security operations and business strategy, with deep expertise in AI governance, secure AI enablement, and cross-functional governance frameworks aligned with ISO 42001. Greg is the author of Secure AI Enablement: A CISO's Practical Guide to Governing AI at Scale and a recognized industry voice who has spoken at the Gartner Security & Risk Summit and contributed to leading cybersecurity publications.
Tia Hopkins
Career Strategy and Executive Leadership Advisor
Tia Hopkins is a cybersecurity executive, educator, and keynote speaker with more than 20 years of experience across IT infrastructure, cybersecurity strategy, and executive leadership. She is an adjunct professor of cybersecurity, is pursuing a PhD in Cybersecurity Leadership, and is the founder of Empow(H)er Cybersecurity, a nonprofit dedicated to inspiring women of color to pursue careers in the field. Tia is a published author and has been widely recognized across the industry for her contributions to security leadership and cyber resilience.
Built for practical, professional application
AI Risk Assessment
Evaluate AI systems across security, privacy, compliance, ethics, and operational risk dimensions.
AI Governance Policy
Establish organizational standards and requirements for responsible AI use.
Executive Governance Roadmap
Translate priorities into a phased, leadership-ready implementation plan.
Your founding cohort enrollment includes
12-week structured curriculum
12 weekly live coaching and implementation sessions
Session recordings
12 portfolio-ready governance artifacts
Editable templates and worksheets
Fictional enterprise case study
Career-positioning guidance
Resume and LinkedIn translation resources
Interview and networking guidance
Private member community
Lifetime access to the core program and community
Founding cohort price of $497
14 days satisfaction guarantee
Join the founding cohort
Build practical AI governance capability and a portfolio of work over 90 days.
Founding Cohort Enrollment
One-time payment
Begins October 5, 2026
Live sessions Wednesdays at 8:00 PM Eastern
Enrollment closes October 3, 2026
Limited to 25 members
14 days satisfaction guarantee
Lifetime access to core program materials and community
Secure checkout • One-time payment • 14 days satisfaction guarantee
You will be taken to the secure AI Governance Career Lab enrollment page.
What happens next
After enrollment, you will receive access instructions for the AI Governance Career Lab community and program environment. You will also receive the cohort schedule, orientation information, and instructions for beginning the first module.
Explore the program for 14 days
Enroll and explore the program for 14 days. If it is not the right fit, email us within 14 days of purchase to request a refund. Program access will be removed when the refund is processed. The guarantee does not cover content theft, unauthorized redistribution, payment fraud, or abusive use.
Read the complete refund policyFrequently asked questions
Your existing experience can become the foundation for an AI governance career.
Use the next 90 days to build practical capability, create credible work samples, and learn how to communicate your value in a rapidly developing field.
Join the Founding Cohort for $497Starts October 5, 2026 • Limited to 25 professionals • 14 days satisfaction guarantee
You will be taken to the secure AI Governance Career Lab enrollment page.