Data Protection & DLP

Discover, classify and protect sensitive information across Microsoft 365, cloud services, devices and approved business workflows.

Support
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Sensitive data discovery

Information classification

Data loss prevention

Copilot-aware governance

Protect Information According to What It Is and How It Is Used

Sensitive information moves through email, Teams, SharePoint, OneDrive, devices and business applications. ITFR helps identify important data, define appropriate handling and apply practical controls without treating every file or user action as equally risky.

Information discovery
Identify sensitive information types, locations, owners and common movement across the environment.

Classification and labels
Create practical categories and sensitivity labels aligned with business handling requirements.

Data loss prevention
Reduce inappropriate sharing, transfer or use of sensitive information through suitable DLP policies.

Retention and lifecycle
Coordinate retention, deletion and records requirements with information ownership.

Endpoint and cloud controls
Apply supported information protection across Microsoft 365, endpoints and connected services.

Copilot and AI data readiness
Reduce oversharing and improve information governance before broader AI access.

Information discovery
Identify sensitive information types, locations, owners and common movement across the environment.

Classification and labels
Create practical categories and sensitivity labels aligned with business handling requirements.

Data loss prevention
Reduce inappropriate sharing, transfer or use of sensitive information through suitable DLP policies.

Retention and lifecycle
Coordinate retention, deletion and records requirements with information ownership.

Endpoint and cloud controls
Apply supported information protection across Microsoft 365, endpoints and connected services.

Copilot and AI data readiness
Reduce oversharing and improve information governance before broader AI access.

The result: sensitive information is easier to identify, handle and protect across everyday collaboration and emerging AI use.

Benefits at a glance

Reduced Data Exposure

Find oversharing and apply controls to sensitive information and high-risk activity.

Clearer Handling Rules

Give users practical guidance through classification, labels and business context.

Stronger Compliance Evidence

Document policies, exceptions, ownership and control operation for assurance needs.

Safer Copilot Adoption

Improve permissions and information governance before AI can surface business content.
SECURE IT · DATA PROTECTION & DLP

Choose the Right Data Protection Model

Choose a focused assessment and implementation or ongoing managed protection across information, policies, exceptions and continuous improvement.

Data Protection Assessment & Implementation

Scoped Engagement

for defined information and services

Design and implement practical information protection controls

For organisations that need to identify sensitive information and introduce classification, retention or DLP controls.

Information & Scope Discovery
Identify services, sensitive information, users, owners and priority risks.

Data Handling Requirements
Define practical rules for sharing, storage, transfer, retention and approved exceptions.

Classification & Label Design
Create suitable sensitivity labels and user-facing handling guidance.

DLP Policy Implementation
Configure agreed data loss prevention policies and staged enforcement.

Pilot, Testing & Tuning
Test policies with selected users and reduce unnecessary interruption.

Documentation & Handover
Record controls, ownership, exceptions, support and ongoing review requirements.

 

BEST FOR
Businesses that need a controlled data protection uplift or a defined compliance and information protection project.

Managed Data Protection & DLP

Managed Control

for defined information and services

Ongoing policy and information risk oversight

For organisations that want data protection controls reviewed, tuned and improved as information and collaboration change.

Everything in Assessment & Implementation
Discovery, requirements, labels, DLP, testing, documentation and handover.

Sensitive Information Monitoring
Review supported policy activity, exposure and recurring information risks.

Policy & Exception Management
Maintain approved policy changes, exceptions and business dependencies.

Sharing & Permission Review
Coordinate information protection with Microsoft 365 access and external sharing.

Endpoint DLP & Device Alignment
Extend supported protection to managed devices and endpoint activity.

Copilot & AI Information Governance
Review permissions, oversharing and sensitive information exposure for AI use.

Reporting & Continuous Improvement
Review trends, incidents, control effectiveness and priority improvements.

BEST FOR
Businesses that need ongoing data protection governance rather than a one-time policy deployment.

Apply Controls According to Information and Business Context

Financial, personal, client, regulated and intellectual property information may require different protection and handling.

ITFR can use common foundations with targeted policies for higher-risk information, users and workflows.

You protect sensitive data without applying the most restrictive control to every document and conversation.

DATA PROTECTION EXPERTISE

Not Sure Where Sensitive Information Lives?

ITFR can assess Microsoft 365 and connected services, identify likely exposure and define a practical first data protection workstream.

1

Sensitive Data Discovery

Locate priority information types and common exposure across supported services.

2

Microsoft Purview Controls

Use suitable classification, DLP, retention and information protection capabilities.

3

Copilot Data Readiness

Review permissions, oversharing, ownership and information exposure before AI adoption.

4

Data Incident Review

Investigate supported policy events and coordinate containment and improvement actions.

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Match data protection to information value, use and risk.

Choose a focused implementation or ongoing managed service according to data types, services, users, compliance and AI adoption plans.