File Security That Protects Sensitive Data Without Slowing Productivity

Gain visibility and control over file sharing

Material automatically discovers and classifies sensitive data across Google Drive, then maps it to every sharing permission. You see which files are shared, who can open them, and whether that access still makes sense. Risky external sharing and files exposed to people who should not have them are surfaced so you can act before exposure becomes a breach. Sensitive data discovery stays current as new files are created, so the inventory never goes stale and your team keeps collaborating.

Proactively remediate data exposure risks

When Material finds risky sharing or improper access, it works with the file owner to correct or justify the exposure, then closes the gap automatically. That protection holds even at rest, so a file shared too broadly does not turn into a breach. Material continuously cleans up oversharing and strengthens your data security posture without slowing collaboration. Offboarding is a common gap, so Material protects sensitive data when employees leave while securing shared files without slowing your users.

Enforce consistent data governance at scale

Material integrates with, augments, and automates native Google labeling so your data governance and classification policies apply across every shared drive and mailbox, not only the files someone remembered to tag. Consistent classification supports data integrity and helps meet obligations under regulations like the General Data Protection Regulation. It also prepares Google Drive for enterprise AI search, reducing exposure before tools like Gemini can surface sensitive content to the wrong people. Teams use Material to operationalize Google's native tools instead of managing it all by hand.

Detect and respond to threats across the entire cloud office

File activity rarely tells the whole story on its own. Material correlates suspicious sharing, access, and downloads with signals from email and accounts, so a phishing click, an anomalous login, and a bulk download read as one attack sequence instead of three unrelated alerts. The same correlation surfaces insider risk and data exfiltration, and flags the risky downloads and persistence mechanisms attackers use to keep access. Protecting files, email, and identity on one platform is what makes this possible.