Supported Platforms

Siberson Veriket Data Classification Supported Platforms — Reference Guide

PLATFORM COVERAGE AT A GLANCE

13 platforms across 4 functional categories

1. Overview

Siberson Veriket Data Classification is an enterprise-grade data classification solution designed to identify, label, and govern sensitive data wherever it lives across the modern organization. To deliver consistent classification outcomes — and to make downstream protection controls such as DLP, IRM, and access governance meaningful — Veriket provides broad native coverage across endpoint operating systems, office productivity suites, cloud collaboration services, and enterprise storage.

This article summarizes every platform supported by Siberson Veriket Data Classification, organized by deployment context. Use it as a quick reference when scoping a rollout, preparing an RFP response, or planning phased coverage across your environment.

2. Platform Coverage Map

Siberson Veriket Data Classification delivers native coverage across four functional groupings: endpoints, office and email, cloud collaboration, and enterprise storage. The table below is the canonical list of supported platforms, organized by category and annotated with supported versions and the integration method used to connect Veriket to each platform.

Use this table as a single-source reference when scoping a rollout, preparing an RFP response, or validating that an existing environment is fully covered.

Table 1. Supported platforms grouped by deployment category.

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3. Endpoint Platforms

Endpoint coverage is delivered through a lightweight Veriket agent that enforces classification at the point of data creation and interaction. The agent integrates with the host operating system to intercept user actions — saving, sharing, printing, copying — and applies classification, labeling, and optional content-aware policy enforcement in real time.

3.1 Windows

The Veriket Windows agent provides the deepest classification integration in the portfolio. It hooks into the shell, Office applications, Explorer, print subsystem, and common collaboration clients to classify files at creation, tag them with persistent metadata, and present users with contextual classification prompts.

Key Capabilities

• Automatic and user-driven classification of documents, emails, and files
• Visual markings (headers, footers, watermarks) applied to Office documents and PDFs
• Persistent metadata tagging that travels with the file across systems
• Context-menu integration in File Explorer for on-demand classification
• Offline operation with policy synchronization once connectivity is restored

Supported Versions

• Windows 11 (all supported editions)
• Windows 10 (all supported editions)
• Windows Server 2016, 2019, 2022, 2025
• Both x64, x86 and ARM64 architectures

3.2 macOS

The Veriket macOS agent brings feature parity with Windows for Apple-managed environments — increasingly common in creative, executive, and engineering teams. It integrates with Finder, the print workflow, and macOS versions of Microsoft Office and Apple iWork, classifying content with the same policy model used elsewhere in the organization.

Key Capabilities

• Finder extension for contextual classification actions
• Classification on save for Microsoft Office for Mac and iWork (Pages, Numbers, Keynote)
• Visual markings preserved when exporting to PDF
• Uniform policy enforcement shared with Windows and Linux agents
• Native support for Apple Silicon and Intel Macs

Supported Versions

• macOS Sequoia (15.x)
• macOS Sonoma (14.x)
• macOS Ventura (13.x)
• Universal binary — Apple Silicon (M1/M2/M3/M4) and Intel

3.3 Linux

For developer workstations, analyst environments, and Linux-based desktops, Veriket provides a dedicated Linux agent. It focuses on file-system level classification, command-line tooling, and integration with common Linux office suites, making it suitable for organizations with mixed Windows/Linux user bases.

Key Capabilities

• File-system level classification and metadata tagging
• Command-line utility for scripted classification in automation pipelines
• Integration with LibreOffice for save-time prompts and visual markings
• Central policy synchronization consistent with Windows and macOS agents

Supported Distributions

• Red Hat Enterprise Linux 8, 9
• Ubuntu 20.04, 22.04, 24.04 LTS
• Debian 11, 12
• Rocky Linux and AlmaLinux (RHEL-compatible)
• SUSE Linux Enterprise Server 15
• Pardus

3.4 Mobile (iOS & Android)

Mobile coverage extends classification and labeling to the tablets and phones where modern work increasingly happens. The Veriket mobile experience is delivered through secure apps and mail/file clients that respect classification metadata and enforce corresponding controls.

Key Capabilities

• Classification-aware secure mail and file clients
• Persistent label preservation when forwarding or sharing from mobile
• Mobile Device Management (MDM) friendly — deployable via Intune, Jamf, or equivalent
• Visual indicators of sensitivity within the mobile user interface

Supported Platforms

• iOS 16 and later (iPhone and iPad)
• Android 11 and later

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4. Office Productivity & Email

Veriket delivers first-class integration with the tools where the majority of sensitive content is authored and exchanged — Microsoft Office and Exchange. Classification is presented inside the familiar ribbon, consistent with user workflows, rather than as a separate action.

4.1 Microsoft Office (Desktop)

Native add-ins for the Microsoft Office desktop suite deliver in-application classification, visual markings, and policy enforcement without forcing users to leave the document or email they are working on.

Supported Applications

Supported Office Versions

• Microsoft 365 Apps for Enterprise (Current Channel)
• Office 2024, 2021, 2019, 2016

4.2 Office 365 (O365)

For cloud-first organizations, Veriket integrates directly with Microsoft 365 services through modern API-based connectors. This delivers classification and protection for content authored in the browser — without requiring a desktop footprint on every endpoint.

Covered Services

• MS Word, MS Excel, and MS PowerPoint for the web
• Exchange Online mailboxes
• SharePoint Online and OneDrive for Business (see Section 5)
• Microsoft Teams file attachments and channel documents

Key Capabilities

• Tenant-level policy deployment without per-user configuration
• Automatic classification of new and modified content
• Integration with Microsoft Graph for metadata persistence
• Consistent labels across desktop, web, and mobile experiences

4.3 Outlook Web App (OWA)

For users who access email exclusively through the browser, Veriket provides a dedicated OWA add-in that mirrors the classification experience of the Outlook desktop client. The add-in ensures that email sent from OWA is subject to the same mandatory classification and visual marking rules as email sent from any other client.

Key Capabilities

• Classification dropdown exposed directly in the OWA compose window
• Mandatory classification enforced before send
• Attachment inspection and content-aware classification
• Subject-line and body-banner visual markings
• Deployable organization-wide via Exchange Admin Center

4.4 Zimbra Mail

For organizations running Zimbra Collaboration — a widely-adopted open-source alternative to Microsoft Exchange — Veriket provides a dedicated Zimlet extension paired with a backend connector. This ensures that users composing mail in the Zimbra web client encounter the same mandatory classification experience as their counterparts on Outlook or OWA, with identical policy enforcement on the server side.

Key Capabilities

• Native Zimlet integration in the Zimbra webmail compose window
• Mandatory classification before send with server-side policy enforcement
• Attachment inspection and content-aware classification
• Subject-line and body-banner visual markings consistent with other email channels
• Domain-wide deployment through the Zimbra administration console

Supported Versions

• Zimbra Collaboration 10.x (Daffodil)
• Zimbra Collaboration 9.x
• Zimbra Collaboration 8.8 and later
• Both Network Edition and Open Source Edition

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5. Cloud Collaboration Platforms

Cloud storage and collaboration services have become the de facto document repository for most enterprises. Veriket protects these environments with agentless, API-based connectors that scan, classify, and label content in place — without disrupting the user experience.

5.1 Microsoft SharePoint

Veriket supports both SharePoint Online and on-premises SharePoint Server deployments. The connector discovers sites and document libraries, scans content on a schedule or in near-real-time, and applies classification labels that are persisted in SharePoint metadata columns.

Supported Editions

• SharePoint Online (Microsoft 365)
• SharePoint Server Subscription Edition

Key Capabilities

• Site-level and library-level scan scoping
• Incremental re-scans based on modification timestamps
• Label persistence in SharePoint metadata columns
• Integration with SharePoint information architecture (content types, site columns)
• Support for large document libraries via pagination and parallelism

5.2 Microsoft OneDrive

OneDrive for Business is frequently the largest single repository of sensitive personal workspace data in an organization. Veriket provides tenant-wide OneDrive scanning that can cover every user mailbox without requiring per-user onboarding.

Key Capabilities

• Tenant-wide scans covering every licensed OneDrive account
• User-level scan scoping for targeted risk reviews (e.g., departing employees)
• Label persistence across web, desktop sync client, and mobile
• Shared-link inspection to surface externally exposed sensitive content
• Throttling-aware scanning that respects Microsoft Graph service limits

5.3 Google Workspace (G Suite)

For organizations running on Google Workspace — or hybrid estates combining Microsoft and Google — Veriket provides a matching connector for Google Drive, Gmail, and Google Docs. The connector uses Google's domain-wide delegation model to scan content across the organization with a single administrative grant.

Covered Services

• Google Drive (My Drive and Shared Drives)
• Google Docs, Sheets, and Slides
• Gmail mailboxes and attachments

Key Capabilities

• Domain-wide scanning via Google Workspace admin delegation
• Native Google Docs format scanning (no export required)
• Label persistence using Google Drive labels where available
• Consistent policy model with Microsoft 365 connectors

6. Enterprise Storage & Data at Rest

Much of an organization's most sensitive data lives in unstructured form on file servers, network shares, and cloud-based storage. Veriket provides a dedicated scanner service that discovers, classifies, and labels this data in place — a critical capability for compliance programs, data minimization initiatives, and risk-based access reviews.

6.1 File Server

The file-server scanner connects to SMB/CIFS and NFS shares using service credentials and performs policy-driven classification of every file within scope. Scans can be scheduled, throttled, and scoped by path, file age, file type, or ownership.

Supported File-Server Platforms

• Windows File Server (Server 2016 and later)
• SMB / CIFS shares on NAS appliances (NetApp, Dell EMC Isilon, Nutanix Files, Qumulo)
• NFS shares on Linux-based storage and NAS appliances
• Distributed File System (DFS) namespaces

Key Capabilities

• Scheduled and on-demand scanning with rate limiting
• Classification applied as file metadata, alternate data streams, or extended attributes
• Optional file-move / file-quarantine actions based on policy
• Detailed scan reports with sensitive content inventory
• Scanner can be scaled horizontally for very large estates

6.2 Data at Rest Discovery

Beyond the named platforms above, the Veriket scanner engine supports generic Data at Rest discovery — the ability to reach into any location where unstructured data is stored and classify it in place. This is the foundation used to extend Veriket to emerging storage platforms and custom integrations.

Typical Discovery Targets

• On-premises file shares and archives
• Cloud object storage (S3, Azure Blob, Google Cloud Storage)
• Document management systems with accessible APIs
• Backup and archive targets

Scanner Engine Capabilities

• More than 400 supported file types for content inspection
• OCR for image-embedded text in scanned documents and PDFs
• Regex, dictionary, exact-data-match (EDM), and AI-assisted classifiers 

7. Supported File Types

Veriket's scanner engine supports more than 400 file formats across documents, email, structured data, images, archives, and specialized engineering files. The table below groups representative formats by content category — showing the file types Veriket can parse, the common extensions, and the inspection mode applied to each format.

Table 2. Representative file formats supported by the Veriket scanner engine.

Beyond the formats listed above, Veriket supports many vertical-specific and legacy formats used in financial services, healthcare, and manufacturing. For a complete, up-to-date list of supported file extensions, contact Siberson Technical Support or consult the scanner engine release notes.

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8. Deployment Reference

The table below consolidates every platform discussed in this document into a single deployment reference — the method used to connect Veriket to the platform, and the typical phase in which it is rolled out.

Last updated: 2026-05-08