Shadow AI Hub
Shadow AI in Your Organization
Your employees are already using AI. The question is whether you know about it.
Shadow AI Is Already Happening
Real examples of unauthorized AI usage found in healthcare organizations
Clinical Staff Using ChatGPT
Doctors and nurses pasting patient notes into ChatGPT to summarize discharge instructions or generate documentation
Risk: PHI sent to OpenAI servers
Admin Using AI Scribes
Administrative staff uses free AI transcription tools (Otter.ai, Rev.ai) to document patient phone calls, insurance discussions, and appointment scheduling
Risk: PHI sent to OpenAI servers
Revenue Cycle Using Claude
Billing staff uses Anthropic Claude to draft insurance appeal letters, analyze denial patterns, or generate claim documentation
Risk: No BAA, no audit trail
78%
Healthcare workers use AI tools without IT approval
5-15
unauthorized AI tools per organization
$5.5M
average cost of a healthcare data breach
Your Governance Partner
Our Governance Framework
Four pillars that eliminate shadow AI risk while enabling safe AI use
Visibility
Complete inventory of who’s using AI, what tools, for what purposes, and what data is being shared
PHI Protection
Automatic detection and cleansing of all 18 HIPAA identifiers before data reaches external AI models
Guardrails
Written policies, approved tool lists, role-based access controls, and acceptable use standards
Monitoring
Continuous logging, audit trails, usage analytics, and compliance reporting across all AI activity
From Risk to Governance in 3 Phases
A proven approach from risk assessment to full governance
Phase 1
60 minutes
Shadow AI Risk Check
Structured discovery call to map your shadow AI exposure, identify top risks, and build a governance roadmap
Deliverable: Risk assessment summary + prioritized action plan
Phase 2
6 weeks
6-Week Governance Pilot
Hands-on implementation: inventory your AI usage, deploy PHI protection, establish policies, and create a governed AI workspace
Deliverable: Governance baseline, safe AI access, executive summary, scale roadmap
What to Do Next
Assess Your Shadow AI Exposure
Book a free Shadow AI Risk Check to understand what AI tools are being used in your organization, where PHI exposure is happening, and what your governance gaps are.
Learn More About Shadow AI
Explore our other Shadow AI resources to understand how to discover it, why AI bans fail, and what the data shows about shadow AI adoption in healthcare.
Shadow AI Resources
Everything you need to understand, discover, and address shadow AI in healthcare
Shadow AI Hub
What Is Shadow AI?
Complete definition, real examples from healthcare, and why it’s a governance crisis not just an IT problem
Tactical Guide
How to Detect Shadow AI
Practical methods to discover unauthorized AI usage across your organization, from employee surveys to IT log analysis
Research & Data
Shadow AI Statistics
The numbers behind the crisis: adoption rates by department, PHI exposure data, compliance awareness gaps, and breach costs
Strategy
Why AI Bans Fail
Organizations that ban AI tools see zero reduction in shadow AI usage. Learn why prohibition fails and what governed enablement looks like
Case Study
The Samsung ChatGPT Incident
Samsung engineers leaked proprietary source code to ChatGPT three times in under 20 days. What happened, why bans failed, and what to learn from it
Ready to Eliminate Shadow AI Risk?
Start with a free Shadow AI Risk Check Understand your exposure and get a clear governance roadmap.