Data Loss Prevention
Keep sensitive data from leaving your organisation.
Overview
We find, classify and protect sensitive data, and stop it leaving through email, endpoints, cloud apps and removable media.
- DiscoverySensitive-information types, classifiers and sensitivity labels.
- CoverageEmail, endpoints, SharePoint, OneDrive, Teams, cloud apps and removable media.
- ActionsPolicies audit, warn, block or encrypt at each exit point.
- ReviewEvery match is logged to a central console for tuning.
Technical scope
- Data discovery and classification
- Sensitivity labels and encryption
- DLP policies for email, endpoints, SharePoint, OneDrive and Teams
- Insider-risk and user policy-tip workflows
- Cloud app and shared-link controls
- Retention and records policies
- Incident review and policy tuning

Architecture and how it works
Content is scanned and labelled using sensitive-information types and classifiers. Policies apply an action at each exit point: audit, warn, block or encrypt. Every match is logged to a central console for review.
Delivery process
- 01
Discover
Locate sensitive data and map data flows
- 02
Classify
Define labels and sensitive-information types
- 03
Pilot
Run policies in audit mode and review matches
- 04
Enforce
Switch to warn or block with user guidance
- 05
Govern
Review incidents, tune policies and report
Tools and deliverables
Policy design records the data types, locations, conditions and enforcement action for each rule. Policies start in audit mode, are tuned against real matches to reduce false positives, and move to warn or block once incident review confirms accuracy.
Deliverables
- Data classification scheme
- DLP policy set
- Pilot findings report
- User guidance
- Governance and review cadence

Common questions
How is sensitive data detected and classified?
Content is matched using sensitive-information types and classifiers, then labelled with sensitivity labels that can also apply encryption. Labels travel with the file across email, SharePoint and OneDrive, so protection follows the data rather than the location, and policies can act on the label instead of re-inspecting content.
What actions can a DLP policy take?
At each exit point a policy can audit, warn the user with a policy tip, block or encrypt. Policies usually start in audit mode to measure real activity, then tighten to warn and block once matches have been reviewed, which limits disruption to normal work while still stopping genuine data leaks.
Which channels does DLP monitor?
Email, endpoints, SharePoint, OneDrive, Teams, cloud apps and removable media, plus shared links. Endpoint policies cover actions such as copying to USB or uploading through a browser, while cloud app controls limit sharing outside the organisation, so the main routes data uses to leave are covered by one policy set.
How do you reduce false positives?
Every match is logged to a central console, reviewed during incident triage and used to refine conditions, thresholds and exceptions. Over time this removes noisy rules and adds precision, so users see fewer needless warnings and security teams spend their time on genuine incidents instead of clearing false alerts.