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Microsoft Purview Implementation

Protect your data. Govern AI usage. Enable Copilot with confidence.

As organizations adopt AI and Copilot, data governance can no longer be optional. Netwoven helps enterprises implement Microsoft Purview to gain control over sensitive data, reduce AI‑related risk, and ensure compliance while enabling productivity across Microsoft 365.

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Why Microsoft Purview Implementation Requires More Than Configuration 

Purview becomes critical the moment Copilot and AI enter the environment. Many organizations enable Purview but struggle to apply it to real data, real users, and real AI usage. The result is weak governance and higher risk at the exact time control matters most.

Limited Visibility Into AI‑Exposed Data

  • Sensitive data spread across Microsoft 365, Azure, SaaS, and on‑prem systems
  • No clear understanding of what data Copilot and AI tools can access
  • Difficulty identifying high‑risk data used for AI prompts
  • Incomplete data lineage and ownership

Policies Not Designed for AI Usage

  • DLP policies built for email and files, not AI prompts
  • Labels applied inconsistently or ignored by users
  • Retention policies that do not consider AI‑driven content creation
  • Alerts that lack AI context and actionable insight

Growing AI and Insider Risk

  • Limited visibility into risky AI interactions with sensitive data
  • Slow investigation of data misuse or oversharing
  • Insider risk signals buried under noise
  • Compliance teams reacting instead of staying ahead

No Operating Model for AI Governance

  • Purview enabled but disconnected from AI strategy
  • Security, compliance, and AI teams working independently
  • No clarity on who owns AI data risk
  • Governance viewed as a blocker to innovation

Microsoft Purview Implementation Services

Purview Assessment and Planning

  • Stakeholder interviews and Purview workshops
  • Sensitive data discovery using Content Explorer
  • Labeling, DLP, insider risk, and retention planning
  • Compliance and access control definition

Information Protection Setup

  • Purview roles and access setup
  • Audit logging enabled
  • Compliance score review and improvements
  • Sensitivity labels created and published
  • Initial manual and automated labeling

Data Loss Prevention and Insider Risk

  • DLP policies for high‑risk data and endpoints
  • Insider risk policies for common scenarios
  • DSPM data exposure review
  • Actionable protection recommendations

Data Lifecycle and eDiscovery Management

  • Retention policies and labels
  • eDiscovery case configuration
  • Records management implementation

Advanced Purview Capabilities and Integrations

  • Integration planning with Defender, Intune, Sentinel, and SaaS sources
  • Review and setup of advanced Purview features
  • Support for DSPM for AI, Communications Compliance, and Information Barriers

Ongoing Purview Support and Optimization

  • Regular review of alerts and reports
  • Policy tuning based on real usage
  • Governance documentation updates
  • Operational support for security and compliance teams

Our Methodology

01

Discovery

  • Assess Needs and Objectives
  • Inventory Data Sources
  • Connect Data Sources
  • Automate Scanning
  • Define Metadata

02

Planning

  • Understand Requirements
  • Provisioning Microsoft Purview
  • Create a Microsoft Purview Account
  • Set Up Access

03

Deployment

  • Set Up Classification Rules
  • Apply Labels
  • Define Governance Policies
  • Establish Data Access Controls

04

Adoption and Change Management

  • Train Users
  • Promote Adoption
  • Regular Reviews

05

Managed Services

  • Set Up Monitoring
  • Generate Reports
  • Optimize Configurations
  • Access Support
  • Troubleshoot Issues

Client Success Stories

Information Protection for a Semiconductor Leader

Microsoft Purview enabled secure classification and protection of sensitive data….

View Case Study →

Data Governance with Microsoft Purview

Microsoft Purview strengthened enterprise data governance across BI systems….

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The Netwoven Advantage

Netwoven focuses on making Purview work where it matters most. At the intersection of data, security, compliance, and AI adoption.

FAQs

How does Purview help with Copilot and AI governance?

Purview controls what data AI tools can discover, reference, or generate content from. It helps reduce the risk of sensitive data being exposed through AI interactions.

Can Netwoven help prepare our organization for Copilot?

Yes. Netwoven aligns Purview implementation with Copilot readiness by ensuring data is classified, protected, and governed before AI is broadly enabled.

We already enabled Purview. Is it enough for AI risk?

In most cases, no. AI introduces new data access patterns. Netwoven reviews existing Purview deployments and adapts them for AI and Copilot usage.

How is this different from a standard Purview deployment?

Netwoven focuses on AI‑driven data risk, not just traditional compliance. Our approach connects Purview to AI strategy and real user behavior.

Does Purview slow down AI adoption?

When done right, it does the opposite. Good governance builds trust and allows AI to be rolled out faster and more safely.

Latest Insights

Building Responsible AI with Microsoft Purview DSPM
Cloud Infrastructure and Security Pankaj Patil
July 02, 2025

Building Responsible AI with Microsoft Purview DSPM

Artificial Intelligence (AI) is fundamentally changing how organizations function, innovate, and deliver value. By intelligently automating tasks, analyzing…

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