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Discover and classify

You cannot govern sensitive data you have not found

Discovery must lead to action, not another static report.

  • Identity
  • Policy
  • Revoke
  • Audit

DPO, CISO, Data Governance, AI Program Teams

Keyword and OCR classification, context enrichment

Rule packs and protection that follows the label

10places sensitive data hides

The answer in 30 seconds

Turn discovery into action by classifying file content and context, then triggering policy-driven protection.

Challenge the status quo

Can you show what sensitive data exists, where it is and what should happen next?

Many organizations have policies for personal and confidential data but cannot produce a current inventory of where that data sits. Sensitive files are scattered across endpoints, Microsoft 365, SharePoint, repositories and file servers. Without visibility, governance becomes assumption.

Unfound data 01

Endpoint file

Goes unfound because
It is created and kept locally, outside any inventory
Where it accumulates
Individual usersunmanaged endpoints

Discovery route

Across repositories and endpoints
It is created and kept locally, outside any inventory
2 repository holders of a copy

Unclassified file

No policy can apply

Classified file

Policy follows the label

Each one ends the same way: sensitive data that no policy has been able to reach, because nothing found it.

Why this matters now

The control gap appears when business use begins.

The expert question is not “Do we have a classification tool?” It is “When sensitive data is found, what automatically happens next?” Discovery that does not lead to action is inventory, not governance.

  1. 01

    What discovery has to become

    The status quo is often a discovery exercise that ends with a report. The report ages quickly, remediation remains manual and the sensitive file continues moving. Discovery becomes valuable only when it can trigger classification, protection or controlled release.

  2. 02

    Why now

    Privacy obligations, AI adoption and audit scrutiny are forcing organizations to understand their unstructured data. AI projects in particular can move large volumes of existing content into new pipelines, making unknown sensitive data a direct operational risk.

  3. 03

    The cost of inaction

    Unknown data creates unknown exposure. Organizations may retain personal information longer than intended, feed sensitive content into AI workflows, fail to protect intellectual property or struggle to answer regulatory questions. Tooling that only identifies risk without reducing it can add cost without changing the outcome.

  4. 04

    The Vaultize approach

    Vaultize discovers and enriches file context, applies keyword and OCR classification and supports rule packs for relevant data types. Classification can trigger protection so that identified sensitive content is not merely labelled but governed through the next stage of its lifecycle.

Cost of inaction

Four risks that outlive the report.

  • Loss of control

    Access, retention and redistribution continue beyond the organization’s effective reach.

  • Weak evidence

    Audit and investigation depend on fragmented records or voluntary cooperation.

  • Business exposure

    Confidentiality loss can affect revenue, litigation, compliance, trust and strategic position.

  • Slow response

    Offboarding, revocation, recovery or legal retrieval becomes manual and uncertain.

The Vaultize value proposition

What Vaultize keeps attached to the classified file

Vaultize carries identity, protection, policy, revocation and activity evidence with the sensitive file. Existing infrastructure remains essential; Vaultize closes the continuing-governance gap after the file moves, is shared or is downloaded.

Keyword and OCR classification

Discover & Classify scans repositories and endpoints and classifies each file by content and context, using keyword, pattern and OCR-based detection to identify personal, financial, regulated and other sensitive data. Applied within the supported Vaultize workflow and policy configuration.

Context and metadata enrichment

Each discovered file is enriched with the context that decides its policy: file identity, source repository, ownership, dates and activity, access and permissions, classification and sensitivity, lifecycle and compliance state, and remediation context. The label is carried with the file rather than kept in a separate spreadsheet.

Policy and rule packs

Rule packs for the data types that matter to the organization turn detection into classification bands and tags, and those bands are what policy reads. Because the band travels with the file, policy reads it wherever the file goes rather than waiting for the next manual review.

Automatic protection after classification

A classified file can be sealed or routed to protection in the same motion. Vaultize Seal binds encryption and view, edit, print, copy and forward rights into the file, Vaultize Share governs release to a named recipient, and every classification and policy decision is written to an audit trail that can be produced later.

Architecture fit

Designed to strengthen the stack already in place.

Best fit for

DPOs, CISOs, data-governance and AI program teams. Start where the business impact is highest and expand through repeatable policy.

How Vaultize fits

Vaultize complements the customer’s existing storage, identity, DLP, email, endpoint, network and recovery controls by governing the file after those systems have done their job. Classification accuracy and automated actions depend on configured sources, rules, context and supported formats.

Discovery questions

Three questions to open the conversation.

  1. 1

    Can you show what sensitive data exists, where it is and what should happen next?

  2. 2

    Which documents, users and external workflows create the highest exposure for sensitive data discovery and classification?

  3. 3

    What happens today when access must be withdrawn, evidence produced or the correct version recovered?

Frequently asked

Clear answers for buyers and evaluators.

Turn discovery into action by classifying file content and context, then triggering policy-driven protection. Discovery across repositories and endpoints answers what exists and where it is; classification decides what should happen next, because the label triggers protection instead of ending in a report.

A practical next step

See how control stays with every sensitive file.

A focused 30-minute review to map the documents, sharing paths and control gaps that matter most in your environment.

Book the 30-minute review