MicrosoftPurview
About
Auto-Classification Managed Services

Classify confidently.Protect automatically.

Auto-classification with Microsoft Purview and Infotechtion solutions continuously labels sensitive and business-critical content so protection controls (encryption, DLP, records, Insider Risk, and AI guardrails) work with precision. It reduces manual tagging, increases coverage, and produces audit-ready evidence.

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Microsoft Partner
Overview

Managed Classification as a Service

Because content and collaboration change daily, auto-classification is an ongoing managed service. We design and deploy policies and models and run a repeatable tuning loop.

01

Design & Accelerate

Start with proven design templates for service-side auto-labeling and client-side recommendations.

  • Sensitive Info Types
  • Trainable Classifiers
  • Custom Patterns

Model-Assisted • Rapid Coverage • Enterprise Scale

PII
SIT
02

Deploy & Tune

Roll out global and scoped policies across prioritized sites, OneDrive, Exchange, and more.

03

Operate & Prove

Run classification as a service with monthly quality reviews, drift detection, and compliance reporting.

  • Quality Reviews
  • Drift Detection

DLP • Insider Risk • Records

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

Classification Framework

Comprehensive Coverage

End-to-end auto-classification managed service, from taxonomy design to continuous tuning and compliance-ready reporting.

Policy & Model Engineering
Operational Quality & Insights
Controls & Outcomes

Curate Sensitive Info Types, Trainable Classifiers, keyword dictionaries, EDM, and document understanding models.

Measure precision/recall with statistically valid sampling; track label adoption, drift, and exception queues.

Auto-apply Sensitivity/Retention labels; enforce DLP based on detected sensitivity; route items to Records workflows.

Design global vs. scoped policies; set default labels for high-confidence locations; client-side recommendations where human context is needed.

Monthly tuning sprints using Content/Activity Explorer, business feedback, and error taxonomy.

Integrate with Access Governance to align workspace/container labels and close classification-access gaps.

Establish governance for training sets and model lifecycle (versioning, approvals, rollback).

Dashboards for coverage, accuracy, and control effectiveness across workloads (SharePoint, OneDrive, Exchange, Teams).

Evidence packages for audits: policy catalog, change log, sampling results, and disposition/label activity reports.

Why Act Now

Unlabeled data is ungoverned data

Auto-classification creates the foundation for DLP, Insider Risk, encryption, records, and AI safety. Our managed service gets you to reliable automation faster and keeps it reliable as your content and usage evolve.

Classification is the foundation. Start labeling today to unlock protection, compliance, and AI readiness.

What's Included

Typical Scope & Deliverables

Target Operating Model (TOM) & Service Catalog

Strategy

Publish roles and decision rights (Service Owner, Product Manager, CAB), runbooks, SLAs, and standard request types. Make classification a consumable service line within Purview.

Labeling & Auto-classification Build

Build

Establish the label taxonomy; design global vs. scoped policies; enable service-side auto-classification and client-side recommendations; set defaults for high-confidence locations.

SIT/EDM/Classifier Engineering

Engineering

Customize Sensitive Information Types, incorporate EDM, and prepare/train/validate Trainable Classifiers with versioning, approvals, and rollback under change governance.

Quality Management & Tuning Loop

Quality

Measure precision/recall via statistically valid sampling; detect drift; run weekly tuning windows and monthly service reviews; manage exception queues.

Operations & Cadences

Operations

Operate daily alert triage and platform health checks; maintain a weekly change window; conduct monthly KPI reviews and backlog burndown; update quarterly roadmap.

Evidence & Reporting

Compliance

Produce audit-ready evidence packs: policy catalog and change log, sampling results, auto-label coverage, oversharing trendlines, MTTA/MTTR, and adoption metrics.

Integrations

Integration

Align outcomes with DLP lifecycle, Insider Risk signals and case workflow, Records/retention, Discovery/Audit, AI governance, and Access Governance.

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
Common Questions

Frequently Asked

Combine multiple SITs and corroborating evidence for higher confidence; limit the scope to high-confidence locations (sites, libraries, mailboxes) to reduce noise; and customize SITs with targeted keywords/regex/EDM patterns and tuned thresholds, then iterate with sampling to validate.

Yes. We can extend discovery and classification to file shares and other repositories via Infotechtion solutions and connected scanners.

Classification outputs feed Access Governance and DLP, helping control which datasets Copilot/agents can access and how content is used.

Ready to automate your data classification?

Contact us to learn how auto-classification can reduce manual effort and strengthen your data protection posture.