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Purview & Compliance

Microsoft Purview data governance, sensitive data discovery, ISO 27001 compliance actions, compliance scores, vulnerabilities, DLP policies, classification, cataloging, and enterprise policy definitions.

What We Build

  • Microsoft Purview compliance and data governance implementations aligned to ISO 27001, privacy, audit, and security objectives.
  • Sensitive information type detection and restrictions for credit card numbers, Social Security numbers, bank account numbers, passport numbers, driver license numbers, medical data, employee IDs, secrets, and API keys.
  • DLP policies that block external sharing, restrict downloads, encrypt content, alert compliance teams, and require user justification.
  • Data map scans and classification across Azure SQL, Cosmos DB, storage, Fabric lakehouses, Power BI, PostgreSQL, and exported files.
  • Compliance score tracking, improvement actions, policy definitions, evidence capture, risk remediation, and audit-ready reporting.

Example Use Cases

  • Implement ISO 27001 compliance actions and track score improvements over time.
  • Detect and restrict credit card numbers and Social Security numbers across documents, databases, reports, and exports.
  • Create DLP policies for sensitive identifiers, financial records, personal information, secrets, and regulated data.
  • Classify data assets and apply labels such as Public, Internal, Confidential, Highly Confidential, or Restricted.
  • Connect vulnerabilities and improvement actions to owners, due dates, evidence, and dashboards.

Purview Compliance Approach

Purview helps organizations identify sensitive data, apply policies, measure compliance posture, and document improvement actions. Evolvement LLC uses Purview patterns to connect data discovery, classification, risk, policy definitions, compliance evidence, and remediation into one governed program.

  • ISO 27001: scorecards, improvement actions, ownership, evidence, remediation, and audit readiness.
  • Sensitive Data: credit cards, Social Security numbers, bank accounts, passports, driver licenses, medical data, employee identifiers, secrets, and API keys.
  • DLP: block sharing, restrict downloads, encrypt content, notify users, alert compliance, and record incidents.
  • Data Map: scan and classify SQL, Cosmos, Fabric, storage, Power BI, PostgreSQL, and exported files.
  • Policy Definitions: define controls, owners, requirements, actions, exceptions, and evidence expectations.

Purview and Compliance Examples

The screenshots below are packaged locally with this page so they render reliably. They show ISO 27001 scoring, sensitive information types, DLP policy rules, data classification, policy definitions, and vulnerability actions.

Purview ISO 27001 compliance score

ISO 27001 Compliance Score

Compliance score, improvement actions, control families, and risk actions for ISO 27001-aligned governance.

Purview sensitive information types

Sensitive Information Types

Credit card numbers, U.S. Social Security numbers, bank accounts, passports, medical records, IDs, secrets, and API keys restricted through policy.

Purview DLP policy builder

DLP Policy Builder

DLP conditions and actions restrict sensitive identifiers, block external sharing, require justification, and alert compliance teams.

Purview data map classification

Data Map and Classification

Data scans classify sensitive data across SQL, Cosmos, storage, Fabric, Power BI, PostgreSQL, and exports.

Purview policy definitions

Policy Definitions and Controls

Policy definitions connect sensitive data controls, ISO 27001 requirements, owners, enforcement status, and evidence.

Purview vulnerability risk actions

Vulnerabilities and Risk Actions

Risk actions track critical, high, medium, and resolved findings with remediation and evidence timelines.

Architecture Flow

Scan

SQL, Cosmos, Fabric, files, Power BI, exports, and repositories.

→

Classify

Credit cards, SSNs, bank data, medical data, secrets, IDs, and labels.

→

Protect

DLP, encryption, restriction, labels, alerts, and access policies.

→

Measure

Compliance score, ISO 27001 actions, vulnerabilities, and risk posture.

→

Improve

Owners, remediation, evidence, audit trail, policy updates, and dashboards.

This pattern turns compliance from a static checklist into an operational governance loop. Data is scanned, sensitive information is classified, policies are enforced, compliance scores are measured, and risk actions are tracked until evidence shows improvement.

Business Value

  • Better visibility into sensitive data and where it lives.
  • Reduced risk from exposed credit card numbers, Social Security numbers, secrets, and regulated data.
  • Improved ISO 27001 readiness through scorecards, evidence, actions, and ownership.
  • Stronger policy enforcement using DLP, labels, encryption, restrictions, and alerts.
  • More audit-ready reporting for compliance, security, and executive stakeholders.

Example Production Flow

  • Register and scan data sources in Purview.
  • Detect sensitive information types and classify assets.
  • Apply DLP and information protection policies.
  • Track ISO 27001 improvement actions and vulnerabilities.
  • Assign owners, collect evidence, and monitor compliance score improvements.
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