Microsoft Purview

Governance that
gets used

Purview is no longer a passive metadata catalog: it's the AI governance control plane. Data Security Posture Management (DSPM) rolling out May 2026. Expanded DLP for Fabric and Lakehouse. AI observability to track how Copilot and agents interact with sensitive data. We configure it during implementation, before compliance asks uncomfortable questions.

What we build

Six governance
capabilities.

AI Governance (DSPM)
Data Security Posture Management goes GA May 2026. Surfaces AI-related data risks, leverages Security Copilot agents for triage. 99% of organizations have already had sensitive data exposure via AI tools. Visibility before breach matters.
Unified Catalog + Data Quality
Automated scanning, data quality rules in SQL expression (now GA), incremental scans, Lakehouse indicators. Error records published to cloud storage for stewards to review. Governance that's operational, not just documented.
Fabric + Lakehouse DLP
Expanded DLP coverage now reaches Fabric Lakehouse environments, not just M365. Sensitivity labels apply from OneLake through to Power BI reports and Copilot responses. One policy, enforced across the full stack.
Lineage + Audit Trail
Full lineage from source system to Power BI visual. Audit log for every data access, transformation, and report generation. Regulatory evidence ready (SOX, HIPAA, SEC) without manual documentation effort.
Domain-Based Governance
Federated model: Finance, HR, Product each own their data within centrally defined guardrails. Data products with health scores. Domain stewards with clear accountability. Governance that scales because it's distributed, not centralized.
Copilot Oversharing Remediation
Purview is now integrated into the M365 admin center. Identify oversharing risks before Copilot exposes them. DLP policies enforced on Copilot interactions. Compliance confidence before you scale AI adoption.

Delivery timeline

10 weeks to governed data

Four phases from use case definition through live deployment. Each phase has a defined output.

Weeks 1–2
Assessment
Inventory sources. Identify sensitive data and compliance requirements. Design governance domains. Define quality metrics and ownership model.
Weeks 3–4
Configuration
Set up Purview. Register and scan initial sources. Configure classification rules. Establish business glossary terms and ownership.
Weeks 5–8
Implementation
Expand source coverage. Configure lineage tracking. Implement quality rules. Assign ownership. Connect to Fabric workloads.
Weeks 9–10
Operationalization
Train data stewards. Establish governance processes. Configure monitoring dashboards. Document policies for self-sustaining governance.

Ready to ship
your data?

We'll assess your current data estate and build a governance roadmap that's practical, not theoretical.

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