Securing Google Drive for the Enterprise AI Search Wave

Enterprise Search is fast becoming the most visible application of generative AI in the workplace. Tools like Glean, Moveworks, and Google's Agentspace are transforming how employees retrieve and operationalize information across calendars, chats, CRMs, and content platforms. 

As these search tools become more powerful and user-facing, they start behaving less like static knowledge bases and more like intelligent collaborators. That’s great for productivity—but dangerous if they’re indexing and surfacing sensitive material from user data that was never meant to be widely visible.

And for many organizations, one input looms largest in both its value and its risk. For businesses running on Google Workspace, no platform holds more of that sensitive day-to-day collaboration data than Google Drive.

Why Google Drive is so critical

Google Drive is the digital brain of most modern businesses. Project plans, customer strategies, partner agreements, product designs, internal memos—it’s all there. According to ElectroIQ, Drive commands nearly 47% of the cloud file-sharing market, outpacing Box and Dropbox combined.

It’s also inherently more open than other platforms. Drive was built for collaboration first, with ACLs (Access Control Lists) and sharing settings often taking a back seat to usability. “Anyone with the link” sharing remains common—and even preferred—for quick iteration. And while that works well for small teams moving fast, it can create serious exposure risk–and that risk grows when these documents are indexed and analyzed by AI. Our own research into Google Drive usage found that without proactive visibility, companies share more sensitive content externally and publicly than they realize–including significant amounts of mission-critical data types, like source code.

The AI Search Explosion and the Risks it Introduces

AI-powered Enterprise Search platforms ingest content across a wide set of tools: project status from Notion, CRM notes from Salesforce, contracts from DocuSign, and so on. But the lion’s share of indexed content typically comes from Google Drive and Gmail—especially for companies standardized on Google Workspace.

This creates two huge challenges for security teams:

1. Sensitive Data Visibility: You can’t secure what you can’t see. Security teams need visibility into what kinds of sensitive data are being stored in Drive and how it's being shared—both internally and externally.
2. Access Control Confidence: Enterprise search platforms generally respect ACLs, but if those ACLs are wrong or overly permissive, the AI doesn’t know that—it will return results accordingly. And with large volumes of content, it’s easy for those permissions to drift out of bounds.

As one Wiz article on GenAI security puts it: “Zero-trust principles must extend to AI.” That includes the data AI can see—and what it can do with it.

To complicate things further, generative models don’t just rely on document content—they learn from metadata too. If many users have a file type that tends to be shared externally, the model might infer that it’s safe to recommend external sharing in the future. That kind of pattern recognition can be helpful—or hazardous—depending on the security hygiene of your organization.

The Manual Burden of ‘Fixing’ Google Drive

Even with good intentions, aligning Google Drive’s sharing policies with security best practices is tough.

1. There’s too much data to check manually, and the rate of collaboration makes it hard to keep up over time.
2. ACLs are complex and inconsistent, especially in Shared Drives, and the metadata around sharing patterns matters quite a lot.
3. It’s hard to find the right balance between security and productivity—users need to share files to get work done.

This creates a long tail of misconfigured access that’s invisible to most IT or security teams—until an AI assistant starts surfacing something it shouldn’t.

Bringing it Together - Three Colliding Trends

Let’s pause and zoom out. Here’s what we’re really seeing in the market:

1. Google Drive continues to dominate workplace collaboration, both internally and externally.
2. Enterprise Search tools powered by GenAI are becoming central to knowledge work, indexing more user data than ever before.
3. Security teams are stretched thin, trying to control a growing number of tools and data flows with limited time and context.

That’s the collision point. If you’re not securing your largest, most open, and most dynamic source of user data—Google Drive—you’re not ready for enterprise AI.

What Good Looks Like

Before you roll out an enterprise search tool, your security team should be able to answer three questions about Google Workspace:

1. What sensitive data exists in Drive?
2. Who owns it, and who has access to it—internally and externally?
3. How do we monitor access and usage over time, as the volume of sensitive data continues to grow?

Material Security answers these questions directly. The platform provides full visibility into both MyDrive and Shared Drives, surfacing which files contain sensitive information, who owns them, and exactly how they’ve been shared. We continuously monitor for new risks, not just one-time snapshots, and give teams actionable insights into exposure patterns across the organization.

Our remediation tooling lets teams clean up sharing configurations at scale—revoking public links, flagging inappropriate external shares, and even bulk-enforcing policy-aligned ACLs—all while preserving the access employees and partners need to stay productive.

This capability is just one critical element of Material's comprehensive cloud workspace security platform, combined with inbound threat and data protection for Gmail, continuous monitoring of user behavior and configurations, and identity threat protection. Material provides meaningful security around your most sensitive communications and collaborative content across your entire cloud office footprint without hampering productivity.

The result? A workspace where Enterprise Search can be safely enabled, where productivity flows freely, and where your sensitive data stays protected by design.

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