The Threat Within

Every executive feels the pressure to adopt AI. Most already know the danger of “Shadow AI,” where employees paste private company data into free, public AI tools and effectively hand your organization’s secrets to the internet. To solve this, companies invest in Gemini Enterprise and assume that a private, enterprise-grade tool puts their security worries to rest.

But there’s a hidden trap we call “Access Debt.”

For the last five, ten, or fifteen years, your employees have been sharing documents. A folder shared with “everyone in the company” in 2018 is still open today. Gemini doesn’t bypass your security; it strictly obeys it. It only sees what each user already has permission to see. But because it reads data at machine speed, it instantly surfaces all those old, forgotten permissions.

The biggest threat to your AI security isn’t a hacker outside your walls. It’s the messy permissions already inside them.

Join Wursta’s AI Enablement Lead, Christopher Hopkins-Ward, and Chief Information Security Officer, Pete Hoff, on October 21 for an intensive 45-minute live webinar on moving from AI experimentation to secure, enterprise-ready deployment.

You Will Learn How To:

• Audit “Access Debt”: See how Gemini acts as a mirror of your current Google Workspace security posture.
• Apply AI Data Classification & DLP: Deploy AI-powered Data Loss Prevention (DLP) rules that automatically detect PII, Social Security numbers, and credit card data.
• Use Client-Side Encryption (CSE): Hold the keys to your “crown jewels” (IP, patents, source code) and cryptographically block both Gemini and Google from reading them.
• Enforce Context-Aware Access: Ensure Gemini only works on secure, company-managed devices.
• Apply the Wursta Framework: Discover our proprietary three-step bridge (Audit & Cleanse, Secure & Configure, Deploy & Innovate) for rolling out enterprise AI safely.