Closing the AI Visibility Gap Starts With Permissions

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Key Takeaways

Date: June 23, 2026

Time: 11:00 am - 12:00 pm CST

REGISTER HERE

AI didn’t create the data oversharing problem. It just made it impossible to ignore.
Most enterprises have years of accumulated permission drift across their data landscape. For most of that time, the risk was theoretical. Then generative AI started surfacing sensitive files to anyone who asked the right question, and a slow-burn hygiene issue became an urgent security problem.

The Technology Association of Iowa is bringing together two of its member companies, VGM & Associates and Opsin, for a candid conversation about what that shift actually looks like inside a real enterprise environment.

In this 30-minute session, Ryan Wood, CISO at VGM & Associates, and Creed Krueger, Cybersecurity Manager at VGM, share what they found when they finally got measurable visibility into their Copilot environment, how they prioritized remediation when nearly everything looked critical, and what they wish they’d known before AI rollout outran their controls.

They’ll also touch on what’s coming next: the rise of employee-built agents, the identity and ownership questions that don’t have clean answers yet, and why agent sprawl is the next visibility gap CISOs need to close.

James Pham, CEO and co-founder of Opsin, will share the patterns he’s seeing across enterprise deployments and where AI data security is heading over the next 6 to 12 months. Tyler Wyngarden, VP of Strategic Partnerships at the Technology Association of Iowa, will host. This is a peer conversation, not a product walkthrough. Expect a candid look at what worked, what surprised them, and a practical framework for security leaders facing the same challenges.

You’ll leave with:

  • A real-world view of what AI-era data exposure actually looks like inside a mature enterprise
  • A working approach to prioritizing remediation when the findings feel overwhelming
  • The CISO’s Checklist for AI Data Security, a leave-behind framework of the questions to be asking now

Table of Contents

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About the Author
Opsin Security
Purpose-built for enterprise AI, Opsin delivers visibility, context, and protection across the LLMs and cloud environments your organization is already using, from Microsoft Copilot and ChatGPT Enterprise to Google Gemini and Claude. Opsin makes AI risk visible, clear, and actionable, enabling security teams to safely scale AI adoption.
LinkedIn Bio >

Closing the AI Visibility Gap Starts With Permissions

Date: June 23, 2026

Time: 11:00 am - 12:00 pm CST

REGISTER HERE

AI didn’t create the data oversharing problem. It just made it impossible to ignore.
Most enterprises have years of accumulated permission drift across their data landscape. For most of that time, the risk was theoretical. Then generative AI started surfacing sensitive files to anyone who asked the right question, and a slow-burn hygiene issue became an urgent security problem.

The Technology Association of Iowa is bringing together two of its member companies, VGM & Associates and Opsin, for a candid conversation about what that shift actually looks like inside a real enterprise environment.

In this 30-minute session, Ryan Wood, CISO at VGM & Associates, and Creed Krueger, Cybersecurity Manager at VGM, share what they found when they finally got measurable visibility into their Copilot environment, how they prioritized remediation when nearly everything looked critical, and what they wish they’d known before AI rollout outran their controls.

They’ll also touch on what’s coming next: the rise of employee-built agents, the identity and ownership questions that don’t have clean answers yet, and why agent sprawl is the next visibility gap CISOs need to close.

James Pham, CEO and co-founder of Opsin, will share the patterns he’s seeing across enterprise deployments and where AI data security is heading over the next 6 to 12 months. Tyler Wyngarden, VP of Strategic Partnerships at the Technology Association of Iowa, will host. This is a peer conversation, not a product walkthrough. Expect a candid look at what worked, what surprised them, and a practical framework for security leaders facing the same challenges.

You’ll leave with:

  • A real-world view of what AI-era data exposure actually looks like inside a mature enterprise
  • A working approach to prioritizing remediation when the findings feel overwhelming
  • The CISO’s Checklist for AI Data Security, a leave-behind framework of the questions to be asking now

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