Live Webinar · October 1, 2026
The AI Blind Spot: How to Find Shadow AI, Enforce Policy, and Measure AI Adoption
Your employees are already using ChatGPT, Copilot, Gemini, Claude, and dozens of other AI tools, with, or without IT approval.
In our upcoming webinar, we’re doing a practical session on understanding employee AI adoption, identifying risky behaviour, and configuring your dashboard to produce measurable outcomes in organizational oversight that close the visibility gap in AI usage.
Meet the Team
-
Nabil Shahid
Sr. Account Executive
-
Mike Noseworthy
Head of Support
-
Herman le Roux
Customer Success Manager
Hosted by
-
Julia Czlapinski
Product Marketing Manager
Date & Time
Thursday, October 1, 2026 • 2 PM EST
45 minutes, including live Q&A
Live Demo
Meet the CurrentWare team
Uncover Shadow AI in your environment
A demo of AI adoption and tracking
Free AI Toolkit
AI Acceptable Use Policy Template
Governance Readiness Checklist
Shadow AI Investigation Playbook
Audience Insights
Ask your AI governance questions live
Participate in our AI Governance Survey
Get practical strategies from our team
The Agenda
During the live demo, we’ll walk through how to:
- Build an inventory of the AI tools being used across the organization
- Identify shadow AI by employee, department, or device
- Review usage trends and adoption patterns over time
- Allow approved tools while restricting unsanctioned platforms
- Detect or prevent sensitive data transfers into AI tools
- Configure alerts for risky activity and policy violations
- Create reports for leadership, security, and compliance teams
- Responsibly scale AI across your organization by expanding approved use
Why AI Adoption is Moving Faster than AI Governance
AI is already embedded in everyday work. Employees use it to write, research, analyze, code, summarize, and automate usually well before IT or security knows a new tool exists.
In a KPMG and University of Melbourne study of 48,000 workers across 47 countries, 57% employees admitted to hiding their AI use and passing AI-generated work off as their own. Nearly half had used AI in ways that break company policy, and just as many had pasted company information into public AI tools.
This becomes both a workforce and clarity problem. People hide what they were never told how to do properly, and by the time a tool shows up in a policy discussion, it’s often been in use for months.
And oftentimes, blocking AI doesn’t solve the immediate problem. Blanket bans push usage onto personal devices and unmanaged accounts, where you have no visibility at all, further pushing adoption and company workflows out of your hands.
What organizations actually need is a way to tell the difference between productive, approved AI use and the rest of it: shadow AI, unsafe data sharing, policy violations, and tools that create more risk than value.
In this webinar, we’ll show you how to move from assumptions to evidence, and from a static AI policy to governance that holds up in practice.
AI Adoption is Moving Faster than AI Governance
- AI is already embedded in everyday work. Employees use it to write, research, analyze, code, summarize, and automate usually well before IT or security knows a new tool exists.
- In a KPMG and University of Melbourne study of 48,000 workers across 47 countries, 57% employees admitted to hiding their AI use and passing AI-generated work off as their own. Nearly half had used AI in ways that break company policy, and just as many had pasted company information into public AI tools.
- That’s not a workforce problem. It’s a clarity problem. People hide what they were never told how to do properly. By the time a tool shows up in a policy discussion, it’s often been in use for months.
- The fix isn’t simply to block AI. Blanket bans push usage onto personal devices and unmanaged accounts, where you have no visibility at all.
What organizations actually need is a way to tell the difference between productive, approved AI use and the rest of it: shadow AI, unsafe data sharing, policy violations, and tools that create more risk than value. - In this webinar, we’ll show you how to move from assumptions to evidence, and from a static AI policy to governance that holds up in practice.
Turn Your Workplace Shadow AI From a Blind Spot into a Governed Advantage
1. Proactively Identify
Sanctioned and unsanctioned AI platforms across users, teams, and devices including the shadow AI nobody submitted a ticket for.
2. Quickly Recognize
Risky AI behavior, attempted file transfers, unusual adoption patterns, and potential exposure of sensitive information.
3. Accurately Measure
AI adoption and see where AI adoption is growing, which departments are using it most, and where further investment, training, or intervention is warranted.
4. Effectively Enforce
Your AI policy by allowing approved tools, restrict high-risk platforms, create group-specific rules, and make acceptable-use policies technically enforceable, not just technically documented.
5.Intuitively Build
Audit-ready reporting through scheduled reports, alerts, and usage trails for IT, security, compliance, HR, and executive stakeholders.
6. Confidently Optimize
Your AI strategy by identifying which tools deliver real value, where licenses are being wasted, and where teams need additional training, governance, or approved alternatives.
If you work in healthcare, government, financial services, legal services, manufacturing, or any other regulated or data-sensitive industry where high stakes decisions require strong data to back them, this webinar is unmissable.
Gain the visibility and controls you need to support useful AI adoption, without leaving sensitive data, compliance, and organizational policy to chance.