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Classification and Labeling

Your DLP can’t protect what it can’t recognize.

Cognni's proprietary contextual AI reads unstructured information the way an expert analyst would. It recognizes 400+ information types out of the box, assigns each file its business category, and writes a native sensitivity label your controls can enforce.

Book a Demo Get a Free AI Exposure Assessment

Free assessment: a 30-minute setup, read-only, results in one week. Demo: 30 minutes, tailored to your environment.

Illustrative animation.

Information types out of the box
400+
Training on your data
None

Pre-trained, ready on day one

More label coverage
Up to 500%
Rules to write
0

The coverage question

What share of your files carry the right label today, and how would you know?

Most data protection teams can report on their rules and policies. Very few can report on actual label coverage.

Known

The rules you've written

You know which patterns and keywords your DLP looks for.

Partial

Regulated identifiers

Card, health and ID numbers get caught, most of the time.

Blind spot

Business documents

Contracts, board material, strategy and salary files have no pattern to match.

The DLP gap

Every DLP program rests on four assumptions.

Files carry the right label
Most files are unlabeled, and labels drift as files are copied and edited
Rules find the sensitive content
Rules find identifiers. Business documents have none
Tuning keeps up
Every new document type needs another rule, and another round of false positives
Alerts get reviewed
Analysts learn to ignore alerts that carry no business context

Context, not patterns

It knows a term sheet from a lunch menu.

RegEx and keywords find credit card numbers. They don't know that a document is an acquisition term sheet, a board resolution or a salary review, which is the data you actually worry about.

Cognni reads the whole document, understands its purpose and sensitivity, and classifies it the way your legal, HR or finance team would.

Six business categories

400+ information types, organized the way your business thinks.

Every type Cognni recognizes rolls up to one of six categories. Each file gets exactly one category and one label, so reports, alerts and labels speak the language of the teams who own the data.

Personal

Information about individuals, such as contact details, identity documents and résumés.

HR

Compensation reviews, performance reviews, employment contracts and other people records.

Legal

Contracts, NDAs, litigation material and legal advice.

Governance

Board minutes and resolutions, policies, and audit and compliance reports.

Business

Strategy decks, pricing, product plans and other strategic business information.

Financial

Forecasts, budgets, financial statements and deal valuations.

Auto-labeling

Labels your existing controls already enforce.

Cognni doesn't stop at a report. It writes native labels back to your files, so the security tools you already run can act on them.

Microsoft Purview logoMicrosoft 365

Purview sensitivity labels

Labels applied to files in SharePoint, OneDrive and Exchange. Purview, your other DLP tools, Copilot and access policies act on them.

Microsoft 365 and Copilot
Google Workspace

Google Drive labels

Native labels written back to Drive files. Google's DLP, Context-Aware Access and Vault retention act on them.

Google Workspace

In your program review

The difference is what you can report.

Today, most teams report

  • How many DLP rules are in place
  • Policy matches on identifiers
  • A label coverage estimate
  • A false-positive rate, when anyone measures it

With Cognni, you can report

  • Label coverage per file and per category
  • One category and one label for every classified file
  • 400+ information types recognized, with no rules written
  • Labels your DLP enforces automatically

Customer results

What one customer found in week one.

A 15,000-employee food manufacturer connected Cognni with no agents and no disruption for users. This is what its existing controls had missed.

1.4M
files scanned

In the first week, across the sources the customer chose.

180,000
business-critical files surfaced

Strategy, legal, HR and financial files that none of the existing controls could see.

2,300
exposed and overshared

Open to the whole organization or shared externally, each with its full exposure path.

Days
to remediation

Labels and access boundaries applied automatically, before the first monthly review.

See what’s in yours.

Get a Free AI Exposure Assessment

Questions

Questions to ask any classification vendor.

Is the classification engine built on a third-party model?

No. Cognni's classification engine is proprietary technology, built in-house.

Does Cognni train on our data?

No. The engine comes pre-trained and recognizes 400+ information types on day one. It never trains on your data.

Which labels does Cognni apply?

Native Microsoft Purview sensitivity labels in Microsoft 365, and native Drive labels in Google Workspace. Your existing controls enforce them.

Does Cognni store our content?

No. Cognni does not store the content of your files. It keeps classification results and activity metadata. See our privacy policy.

AI Exposure Assessment

Find out what your AI has already seen.

Every day, AI assistants answer from files nobody has labeled. In one week, the free assessment shows which sensitive data Microsoft 365 Copilot, ChatGPT Enterprise and Claude Enterprise can reach across your organization, and what to fix first.

Get a Free AI Exposure Assessment Book a Demo

Free assessment: a 30-minute setup, read-only, results in one week. Demo: 30 minutes, tailored to your environment.