The State of Shadow AI: New Methods for Measuring Your Biggest Blind Spot
1:00 PM PST | 10:00 AM AEST
Register
Your most security-aware employees are your biggest shadow AI risk. Your most trusted vendors are your least monitored. And the governance playbook you're running was built for a world that no longer exists. Join us for a live briefing on the findings from two independent UpGuard studies—one behavioral, one attitudinal—that converge on the same uncomfortable conclusion about shadow AI in the enterprise.
Speakers
Greg Pollock
Director, Research and Insights
Michael Tan
Senior Product Marketing Manager
Event Information
Traditional governance playbooks assume shadow AI is a training problem driven by uninformed employees, but findings from two independent UpGuard studies prove the opposite. Our research, which includes anonymized telemetry from the "Shadow Supply Chain" (2026) and global surveys from "The State of Shadow AI" (2025), reveals that your most senior, security-aware staff are often the primary drivers of unapproved AI adoption.
Join us for a live briefing to explore why standard policies, procurement processes, and awareness training are failing to address the scale of this infrastructure. We will map the disconnect between approved vendor lists and actual application usage, providing a data-backed path toward usage-based discovery and effective AI governance.
What You'll Learn:
- Who is really driving shadow AI adoption (it's your most security-aware staff)
- The real scale of the problem: 63 AI applications, 56 vendors, and 14 categories
- Why training, blocking, procurement, and security ratings all fail
- What actually works: the two-pronged approach for effective AI governance