Classify, label, and protect sensitive data across Microsoft 365 — so confidential content stays confidential whether it's sitting in a mailbox, a SharePoint site, or a laptop being used in a coffee shop.
Most organizations have sensitive data scattered everywhere — financial reports in mailboxes, HR documents on file shares, customer lists in shared OneDrive folders. The data is real, the exposure is real, and the controls usually aren't.
Microsoft Purview Information Protection is what fixes this — sensitivity labels that travel with documents, Data Loss Prevention policies that catch confidential content before it leaves, encryption that protects files even if they end up on a personal device.
The hard part isn't installing it. The hard part is building a label taxonomy that your business will actually use, and tuning DLP policies that catch real leaks without blocking everyday work. We've seen Purview deployments where every label exists but nobody applies them, and DLP rules so strict that the legal team can't share contracts. We try not to do that.
A sensitivity label taxonomy that your business agreed to — usually four to six labels, named in plain language people understand, with clear rules about when to use which. Auto-labeling for content matching sensitive info types, so the system catches what users forget.
DLP policies applied to the highest-risk paths — email leaving the organization, sharing from SharePoint and OneDrive, content moving between Microsoft 365 and personal cloud. Endpoint DLP on managed Windows and macOS devices, so copy-paste and USB transfer are governed too.
Content Explorer and Activity Explorer enabled so your security team can see what data exists where, who's interacting with it, and whether the controls are working. A scored baseline that gives you a number to improve against.
Weeks 1–3. Run Content Explorer to find sensitive content across mailboxes, SharePoint, and OneDrive. Interview business units to understand what data sensitivity means to them — financial data, customer PII, intellectual property, healthcare records. Each industry has its own categories.
Weeks 4–7. Define the label taxonomy with business stakeholders. Configure auto-labeling rules for sensitive info types — payment card numbers, national ID numbers, customer codes specific to your industry. Roll out manual labeling to Microsoft 365 apps with end-user training.
Weeks 8–12. Apply DLP policies starting in audit mode, watching what they would catch before they catch it for real. Move to block mode once tuned. Enable endpoint DLP on managed devices. Add Information Barriers and Communication Compliance if your industry needs them.
If you want to talk through your situation — industry, data sensitivity needs, what's in scope — write to us.
We usually reply the same day.