Robert Yenji

AI Governance & Cybersecurity Consultant | Regulated Industries

Shadow AI: The Compliance Crisis in Regulated Industries

What shadow AI is, why it differs from shadow IT, and why regulated industries face unique exposure.

Why shadow AI is a compliance liability

HIPAA, NIST AI RMF, EU AI Act, SEC, NY DFS, and DORA requirements for AI tool governance explained

What regulators say about shadow AI right now

Build an AI inventory, tier your risk, create an approval pathway, write a policy, evaluate vendors.

A 5-step governance response you can start today

Learn practical ways to lead in responsible AI, with tools you can apply today. 

Responsible AI Advisor & Instructor 

Ahold Delhaize

Johnson & Johnson

ABN AMRO

Hinda Haned

Legatus I

Legatus II

Responsible AI is no longer a niche topic, it’s on the agenda of regulators, boards, and business leaders everywhere. In 2024 alone, governments worldwide issued more than twice as many AI-related regulations as the year before. Add to that more than 80 frameworks, countless checklists, and a steady stream of new tools, and the field quickly feels overwhelming. The real challenge isn’t whether AI should be used responsibly; it’s knowing where to begin. 🎯This course brings you back to the foundations: cutting through the noise, grounding you in what matters, and giving you a clear path forward.Here is detailed breakout of the course:🟩 Week 1: Power Session | Responsible AI PrimerA focused 3-hour session that cuts through the noise and gives you a practical overview of Responsible AI governance.🟩 Week 2: Mentoring &amp; Application | RAI Lab<blockquote>In the second week, you’ll have up to three hours of 1-to-1 mentoring to apply the tools directly to your own context. This may include building a governance checklist, evaluating a vendor, or stress-testing a project plan. The goal is for you to walk away with a concrete, business-ready action plan tailored to your organisation.</blockquote>

Your Responsible AI power session: from principles to practice

Understand core Responsible AI principles in practical business contexts

Recognise common AI risks through real-world system failures

Use a simple Responsible AI risk assessment framework

Define actionable first steps toward Responsible AI adoption

Anyone seeking a clear, practical intro to RAI with real-world examples to apply best practices or guide others effectively.

Leaders seeking to build or improve RAI governance with concrete SOPs and case studies from leading organizations.

Professionals who need to understand and apply RAI to meet regulatory and ethical standards, using field-tested examples.

Govern the HR AI tools you already use. Know what's high-risk, build a governance map, and question vendors before you sign anything.

Head of Talent , ex- Novartis | NYU Alum

Novartis

New York University

Aarti Mudaliar

Head of Talent, Novartis | NYU Alumni | Microsoft, AWS & Google certified

Founder, INTLDA | AI Governance Advisor

Pfizer

Accenture

S&P Global

Cornell University

Uvika Sharma 

Founder, INTLDA | AI Governance Advisor | Keynote Speaker | Cornell Alum

Cohort 1

You didn't build the AI. You're still liable for it.McDonald's exposed 64 million applicant records. Samsung lost 270,000 customer records through a vendor's unrotated credentials. Air Canada was held liable for what its own chatbot promised a customer. None of these were AI failures. They were governance failures, and the company answered for it, not the vendor.Under the EU AI Act, NYC Local Law 144, and Colorado's new AI law, you're the deployer of record for every HR tool your team runs, whether you built it or bought it. Most HR leaders confuse responsible AI with AI governance. Responsible AI is the standard: fair, explainable, accountable. Governance is the proof: who signs off, what gets logged, what you hand a regulator when a decision is challenged.This course builds that proof live, on tools your team already uses. You leave with three real artifacts: a risk-tiered inventory, a one-page governance map, a vendor accountability assessment. Built by you, in the room, led by two practitioners with 38 combined years in HR operations and AI governance. Not a certificate. Not a template. A file you can hand your CHRO or General Counsel on Monday.

You didn't build the AI. You're still liable for it. Here's the proof you need.

Know which of your HR AI tools are high-risk, and which aren't

Understand the difference between Responsible AI and AI Governance

Build a one-page governance map for one tool you actually use

Know what your vendors aren't telling you

Understand what the law actually requires of HR right now

Leave with three connected artifacts for one real tool

You're a Senior HR Leader who has been handed an AI mandate with no roadmap and you're expected to have a governance point of view on AI

Go from confused by EU AI Act headlines to owning a compliance roadmap your leadership can act on. No jargon. No guesswork. More clarity.

AI Governance Advisor | Founder, INTLDA

Uvika Sharma

Founder, INTLDA | AI Strategist, Governance Advisor | Educator | Keynote Speaker

AI Governance Auditor | AIGP | ISO 42001

Deloitte

Wells Fargo

Evan Benjamin

AI Governance Advisor, INTLDA | AIGP | ISO 42001 Auditor | Algorithmic Auditor

Most professionals heard one headline: the EU AI Act was delayed. That is only partially true. The Digital Omnibus pushed back high-risk deadlines. But AI literacy has been law since February 2025. Transparency obligations took effect August 2, 2026. GPAI enforcement powers are active. None of these were delayed.The problem is not that people ignored the regulation. It is that they received incomplete information and made decisions based on it. Legal teams think they have until 2027. Compliance teams are waiting for guidance that already exists. Leadership has not been briefed on what applies right now.This course exists because the gap between what organizations think is required and what is actually required is dangerous. Not in theory. In enforcement exposure, vendor risk, and reputational liability.In four sessions, you will understand exactly which obligations apply to your organization, classify your AI systems, prioritize what matters by role and industry, and build a compliance roadmap you can take to your leadership. You leave with a plan, not a binder.This is not a legal seminar. It is a working course built for the people who have to make this operational.

The EU AI Act is live. Most organizations are not ready.

Know exactly what is live, what was delayed, and when

Determine whether your organization is in scope and in what role

Identify which obligations apply to your specific role and industry

Build a compliance roadmap with real deadlines, owners, and priorities

Brief your leadership with confidence, not caveats

Compliance officers and legal counsel in regulated industries who need to know which EU AI Act obligations apply to their organization now.

Heads of AI, data, and product who deploy or build AI systems with EU exposure and need a practical compliance plan, not legal theory.

Startup founders, CTOs, and consultants whose products or clients touch the EU market and need to assess scope, risk, and readiness fast.

You'll shift from compliance officer to AI governance leader, trusted to shape decisions rather than just record them.

Data Privacy Educator | AI Governance

Paul Imre

Data Privacy Educator & AI Governance guide, from checklist to culture

Your organisation is adopting AI. AI governance has landed on your desk, whether your job title says so or not. The EU AI Act is already here, and the instincts that made you effective at GDPR are about to be tested somewhere they don't fully reach.Lawful basis. Records of processing. DPIAs. That's how GDPR taught you to govern personal data. AI asks a different question: who gets the blame when things go wrong. That means shifting your thinking from data to decisions.In two hours, you'll get more than an overview of the rules. You'll get a framework you can actually use. Five questions to bring into any AI conversation. A quick way to sort AI use cases by real risk. A clear view of where your existing skills already put you ahead.This isn't a walkthrough of the AI Act. It's a different way to think about governance, borrowed from how health and safety turned a compliance box-tick into a culture. Built for DPOs, privacy leaders, risk professionals and operational leaders now expected to lead on AI, not just record it. Take the course on a Friday. Walk in different on Monday.

The EU AI Act is live. GDPR alone won't govern it.

Apply the Farmer's Five Questions to any AI initiative 

Classify AI use cases by real risk, not by hype

Spot when human oversight is theatre, not control 

Turn your GDPR skills into an AI governance advantage

Build a recurring AI governance habit, not a policy

Find where your organisation can't yet stop an AI system

A working understanding of GDPR (awareness of the EU AI Act would be helpful).

Working knowledge of GDPR

Whatever stage it's at: scoping, design, live, piloting, or stuck trying to get out of pilot.

An AI use case from your organisation

New to this or years in, you want to shape these decisions, not just record them.

A stake in how AI gets governed 

DPOs and privacy leads who've been handed AI governance without a new title, team or budget.

Risk and compliance professionals building the case for how AI should be governed, and by whom

Operational and product leaders deploying AI who need to prove it's governed, not just working.

Agentic AI

Coding with AI

AI Workflows

Claude Code

OpenClaw

Vibe Coding

AI Evals

AI Transformation

RAG & Search

AI for PMs

AI for Engineers

AI for Designers

AI for Marketers

AI for Founders

Product Sense

Product Discovery

User Research

Prototyping

Growth

Analytics

Tech Foundations

Strategy

Influence

Leadership

Career Growth

Machine Learning

LLM Ops

Context Eng

Security

System Design

Figma

Design Systems

Visual Design

Design Strategy

Automation

Content Marketing

Demand Gen

Go-to-Market

Product Marketing

Positioning

Social Media

Brand

B2B Marketing

SEO & AEO

AI for Leaders

AI Governance

Communication

Management

People Operations

Exec Presence

Storytelling

Goal-setting

Personal Brand

Fundraising

Everyone

Operators

Data Scientists

Business Analysts

User Researchers

Customer Success

Project Managers

HR Professionals

Sales People

Lawyers

Finance

Investors

Real Estate

Educators

Creators

The AI-Powered Professional

Executives and senior leaders who set strategy, lead teams, and drive organizational outcomes.

Operations professionals who optimize processes and manage day-to-day business functions.

Legal professionals providing counsel and managing compliance.

Applying AI tools and techniques to professional workflows — assign alongside more specific AI topics.

Securing software systems — application security, threat modeling, authentication, and infrastructure protection.

Establishing policies, ethics frameworks, and oversight for responsible AI use in organizations.

Shadow AI: The Compliance Crisis in Regulated Industries

What you'll learn

Why this topic matters

You'll learn from

Robert Yenji