Data leaves through ordinary actions
Most data loss isn’t a dramatic hack. It’s normal work done slightly wrong: forwarding a file to a personal email to work on it at home, sharing a folder publicly to save time, syncing company files to a personal cloud account, or pasting client details into an AI tool. In a remote team, all of that happens outside any office network, so the controls have to live in the apps and on the devices.
What DLP protects
- Personal data (PII): names with addresses, ID numbers, dates of birth and contact details.
- Health and financial records: patient information, card numbers, bank details.
- Intellectual property: source code, designs, pricing and product plans.
- Credentials and keys: passwords, API keys and access tokens pasted where they shouldn’t be.
Where controls apply
Detect sensitive data in outgoing messages and attachments, and warn or block when it’s going outside the company.
Cloud storage and sharing
Stop public and external sharing of files that contain sensitive data in OneDrive, SharePoint, Google Drive and similar.
Endpoints
Control copying to USB drives, personal cloud sync and printing on company laptops, wherever they are.
AI tools and the browser
Detect sensitive data being pasted or uploaded into unapproved AI tools and websites, a key control for shadow AI.
How we roll it out
Classify
Agree what counts as sensitive for your business and label where it lives.
Monitor
Turn on policies in monitor mode to learn how data really moves, without blocking anyone.
Warn
Show short, helpful warnings for risky actions, so people learn the rules in the moment.
Enforce
Block clearly risky actions, with an easy way to request exceptions and a regular review of what’s caught.
Part of a layered data defense
DLP controls what leaves. SaaS and cloud posture management fixes risky sharing settings at the source, and immutable backup makes sure you can recover if data is encrypted or deleted.