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Classification

Turn discovered data into clear classifications.

ClAIssify helps teams understand what their data contains and how it should be handled. It brings detected findings together by data type, location, and sensitivity tier, giving security, privacy, and compliance teams a clearer starting point for review.

Classification

What the latest scans found in your files and databases, sorted by how sensitive it is.

Preview data
Sensitivity of the classified data
Files and database columns in each sensitivity tier
FilesDatabase columns
Unstructured and structured
Files, and database tables
Unstructured (files)

15,044 classified
4,088 Restricted or Highly Confidential

Structured (databases)

0 databases, 0 tables
0 columns classified

0 Restricted or Highly Confidential

0 with personal data

Kinds of data
What the latest scans found in your buckets, containers and databases: names, card numbers, health records, keys and more.
Most common kinds
Files and database columns each kind was found in. Select a bar to filter the examples.
Data element summary
Every kind found, sensitive kinds first. Select a row to see its finding summary.
Kind of dataCategoryFilesDatabase columnsStores
Payment card number SensitiveFinancial (PFI)659318
Medical licence (DEA) number SensitiveHealth (PHI)501010
Singapore NRIC or FIN SensitivePersonal data (PII)400012
Showing 3 example data elements.

Why classification matters

Finding sensitive data is only part of the job.

Teams also need to understand how sensitive it is so they can apply the right protections.

Without consistent classification, a personal identifier, a business document, and information approved for public use can appear alike in a large inventory. Clear sensitivity labels help teams decide what needs tighter access, closer review, or a different handling policy.

Classification gives teams a shared way to:

  • Prioritize protection: focus attention on data assigned to higher sensitivity tiers.

  • Apply policies consistently: use the same classification approach across connected stores.

  • Make reviews more useful: see the data type, sensitivity, and location together.

  • Support governance: use classified inventory to inform access reviews, remediation, and compliance work.

AI-assisted understanding

AI-assisted understanding, clear classification.

A value does not always explain itself. A sequence of digits, for example, could represent several different things depending on the surrounding content.

ClAIssify combines detection methods with AI-assisted context analysis to help interpret what a potential finding represents. Classification rules then map findings to your organization’s sensitivity tiers. This gives teams context for review while keeping the tiering process consistent with configured rules.

Illustrative · values obscured

Applicant record

Applicant ID
value obscured
Department
HR

Finding

National identifier

Identity data · HR / Applicant record

Invoice archive

Invoice reference
value obscured
Department
Finance

Finding

Invoice reference

Business data · Finance / Invoice archive

How a finding is classified

From a finding to a sensitivity tier.

  1. 01

    Detect a potential finding

    ClAIssify scans supported files and records in connected sources for recognized data types.

  2. 02

    Interpret it in context

    AI-assisted analysis considers surrounding information to help distinguish between different kinds of data.

  3. 03

    Apply classification rules

    Configured rules map the finding to a sensitivity tier and relevant data category.

  4. 04

    Review the result

    Teams can see the classification alongside the finding’s type and location, then decide what follow-up is appropriate.

Classification tiers

Five tiers. One clearer view.

Restricted
The highest sensitivity tier. Use it for information that requires the strictest handling under your organization’s policy.
Highly Confidential
Sensitive information that should be limited to specifically authorized people or roles.
Confidential
Information that requires controlled access and should be handled according to internal policy.
General
Routine information intended for normal internal use.
Public
Information approved for public distribution.

Your organization’s policies determine which data belongs in each tier. ClAIssify’s configured rules should reflect those definitions.

  1. Restricted
  2. Highly Confidential
  3. Confidential
  4. General
  5. Public
Illustrative animation. Labels and shapes are examples: not live data, and not a real-time scan.

Beyond the label

Make classification useful beyond the label.

A tier is most useful when teams can connect it to a next step. ClAIssify organizes findings so teams can review which data types were identified, where they were found, and how sensitive they are. That gives teams a more practical basis for deciding what to investigate, protect, or include in a governance workflow.

Know what the data represents. Understand its sensitivity. Make the next review clearer.

Give findings meaning.