Netwrix Data Classification

Shows where sensitive data lives and what it is, to support governance and reporting.

Netwrix Data Classification — discover and label sensitive data across files, cloud and databases

Data often sits in many places and formats. File shares, cloud storage and databases can all hold sensitive records. That makes it hard for IT and compliance teams to know what needs protecting or how to show auditors they have visibility.

Where Netwrix Data Classification is used

Run estate-wide discovery scans on file shares and cloud storage to build an inventory of personal and regulated data. Use configurable rules to adapt detection to local formats and languages.

Classify unstructured data so security and privacy teams can prioritise where to apply encryption, access restrictions or retention controls. Keep classification metadata searchable for reporting and hand-offs to operational teams.

Produce exportable reports as evidence for governance and audit requests, and to guide targeted cleanup or policy changes.

Fits within these solutions

Data Classification & Labelling
Unstructured Data Visibility
Data Security Posture Management
Data Governance & Auditing
Usage & Compliance Dashboards

Suitable environments

Best suited to medium-to-large UK organisations with mixed estates and significant volumes of unstructured data. It suits teams where dedicated security, privacy or compliance staff need demonstrable visibility of sensitive information.

Common in regulated sectors such as financial services, healthcare, legal and public sector where auditability and clear evidence of data handling are required. It fits environments using a mix of on-premises and cloud storage.

How we help

Armstrong often helps with implementation, configuration and ongoing support for Netwrix Data Classification. Typical customers are medium-to-large organisations in regulated sectors with formal security, privacy or compliance teams and large volumes of distributed or unstructured data. Engagements focus on getting detection rules tuned, classifications recorded consistently and reports produced for governance teams.

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