MicrosoftPurview
About
DLP & Insider Risk Managed Services

Stop data loss.See risky behavior. Prove control.

Microsoft Purview Data Loss Prevention (DLP) prevents sensitive data from leaving trusted boundaries, while Insider Risk Management (IRM) detects risky user behavior, whether malicious or accidental. Together, they reduce incidents and create audit-ready evidence.

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Microsoft Partner
Overview

Managed DLP & Insider Risk as a Service

Because users, apps, and regulations change constantly, DLP and IRM are best delivered as an ongoing managed service. We design policies, operationalize governance, and run a repeatable tuning loop that keeps controls effective, month after month.

01

Design & Accelerate

Establish prioritized use-cases, data classifications, locations, and user groups with privacy-by-design defaults.

  • Policy Templates
  • IRM Indicators
  • Privacy Controls

M365 • Endpoints • Cloud Apps • Defender

02

Deploy & Tune

Roll out DLP in simulate → audit → enforce stages with continuous optimization.

SIMULATE
AUDIT
ENFORCE
SIMULATE
AUDIT
ENFORCE
03

Operate & Prove

Weekly tuning, monthly reviews, and audit-ready evidence packs for regulatory compliance.

MTTA ↓FP ↓ 40%
  • Weekly Tuning
  • Evidence Packs

Coverage • Drift Detection • Control Effectiveness

Built for enterprise-scale M365, operated as a Target Operating Model (TOM)-based managed service with continuous tuning and evidence-ready reporting.

Service Framework

Comprehensive Coverage

End-to-end DLP & Insider Risk managed service, from policy design to continuous tuning and compliance-ready reporting.

Policy & Engineering
Operational Quality & Insights
Controls & Outcomes

Curate DLP templates and custom rules; define locations (Exchange, SharePoint/OneDrive, Teams, endpoints, cloud apps). Configure IRM indicators, scopes (priority users, leavers), and privacy settings (pseudonymization).

Precision/recall sampling for policy accuracy; alert taxonomy for measurement (not handling); drift detection. Track policy hits by location, action, data type, and user cohort.

Define graduated control responses in policy: notify → warn → soft-block → hard-block. Enable Adaptive Protection policies to tighten controls for defined high-risk states.

Model exceptions (business processes, trusted domains), user overrides with justification, and evidence capture. Map indicators to sensitivity labels and identity attributes/leaver indicators (where provided).

Weekly tuning windows; measure false positive/negative rates; review exception queues; correlate IRM trends with DLP blocks and sensitivity labels.

Publish guidance and recommended control changes; execute policy updates under CAB; handoff potential incidents to Investigate and Respond per RACI.

Govern change (CAB), versioning, and rollback; maintain test datasets and "golden" scenarios. Leverage native Purview experiences such as Content Explorer and Activity Explorer; integrate with Defender and Entra.

Dashboards for coverage, alert volume trends, dwell time proxies, MTTA/MTTR for policy changes, top risky flows, and policy effectiveness by business unit.

Evidence packs: policy catalog & change log, sampling results, enforcement coverage, and control effectiveness trends.

Why Act Now

Data exfiltration paths are multiplying

GenAI & Cloud Collaboration

GenAI and cloud collaboration broaden exfil paths (prompts, browser plug-ins, shadow apps). DLP stops sensitive data from leaving; IRM detects workarounds and risky sequences.

Leavers & Contractors

Leaving employees and contractors are a top risk. IRM correlates identity attributes and leaver indicators with file activity to surface genuine threats fast while preserving privacy.

Regulatory Proof

Regulators expect proof of effective controls, not just policies on paper. Our service provides audit-ready evidence and continuous improvement metrics.

What's Included

Typical Scope & Deliverables

Target Operating Model (TOM) & Service Catalog

Strategy

Roles, RACI, SLAs, request types (onboard BU, add exception, simulate→enforce), and CAB governance.

DLP Policy Design & Build

Build

Microsoft templates + custom rules; high-risk channels (email, Teams, endpoints, supported cloud apps via Defender for Cloud Apps); notifications, policy tips, overrides, and business exceptions.

Insider Risk Policy Design & Privacy Controls

Engineering

Indicators (data exfil, downgrade + share, anomalous activity, leavers), priority user groups, and pseudonymization defaults aligned to legal/HR processes.

Operations & Cadences

Operations

Platform health checks; weekly tuning and backlog; monthly KPI review; quarterly roadmap aligned to platform releases.

Quality Management

Quality

Precision/recall sampling; false-positive reduction; drift detection; cross-signal correlation (labels ↔ DLP ↔ IRM).

Evidence & Reporting

Compliance

Policy catalog, change log, sampling results, enforcement coverage, MTTA/MTTR for policy changes, top exfil paths, and control effectiveness trends.

Integrations

Integration

Sensitivity labels, Entra Conditional Access, Defender for Cloud Apps (supported apps), Content/Activity Explorer insights, and Adaptive Protection policies.

Handoff Definition

Governance

RACI and criteria for when potential incidents are transferred to the separate Investigate and Respond service (or your SOC).

Handoff to Investigate and Respond

This service covers policy design, deployment, and continuous tuning. When telemetry indicates a potential incident, we follow a documented RACI to notify and transfer the case, with relevant context and evidence, to the separate Investigate and Respond service (or your SOC) for triage and case work. Feedback from investigations is fed back into policies during our weekly tuning window.

Common Questions

Frequently Asked

We follow a documented RACI to notify and transfer the case, with relevant context and evidence, to the separate Investigate and Respond service (or your SOC) for triage and case work. Feedback from investigations is fed back into policies during our weekly tuning window.

Privacy-by-design is core to our approach. We configure pseudonymization by default, align indicator scopes with legal/HR processes, and ensure all privacy settings comply with your organizational policies.

Yes. Through Microsoft Defender for Cloud Apps, we can extend DLP policies to supported cloud apps. For broader coverage, we integrate with Infotechtion solutions for additional discovery and protection scenarios.

Our accelerated approach uses proven templates and simulate→audit→enforce stages. Most organizations see measurable risk reduction within the first month of deployment, with continuous improvement through our tuning loop.

Case Studies

Real-World Success Stories

Infotechtion

Financial Institution Strengthens Data Security Posture

How a leading financial institution leveraged Infotechtion to discover, classify and protect sensitive data across their enterprise.

Read Case Study
Infotechtion

UK Insurance Provider Powers AI Adoption with Infotechtion

How a leading UK insurance provider transformed their data governance to enable secure and compliant AI adoption.

Read Case Study

Ready for a clean split between policy and response?

We'll run the policy side and integrate seamlessly with your Investigate and Respond function to deliver measurable risk reduction.