Supported Platforms

PLATFORM COVERAGE AT A GLANCE

17 platforms across 5 functional categories

1. Overview

Siberson Veriket Data Discovery is an enterprise-grade data discovery solution designed to locate, inventory, and risk-score sensitive data wherever it resides across the modern organization — from endpoints and mailboxes to file shares, cloud collaboration platforms, and structured databases. The output is a continuously updated map of where regulated and business-critical data lives, who can access it, and how exposed it is — providing the factual foundation that every downstream control (DLP, access governance, data classification, retention) depends on.

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

2. Platform Coverage Map

Siberson Veriket Data Discovery delivers native coverage across five functional groupings: endpoints, office and email, cloud collaboration, enterprise storage, and structured databases. 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 discovery program, preparing an RFP response, or validating that an existing environment is fully covered.

Table 1. Supported platforms grouped by deployment category.

3. Endpoint Platforms

Endpoint coverage is delivered through a lightweight Veriket discovery agent that performs scheduled and on-demand scans of local file systems, browser caches, sync folders, and locally cached mailboxes. Unlike a real-time enforcement agent, the discovery agent operates on a non-intrusive scan model — building a per-host inventory of sensitive content and reporting findings to the central console without altering the underlying files.

3.1 Windows

The Veriket Windows discovery agent provides the deepest discovery integration in the portfolio. It scans local drives, mounted volumes, OneDrive and Google Drive sync folders, locally cached PST/OST mailboxes, and common application data directories — building a complete inventory of sensitive content stored on the endpoint.

Key Capabilities

• Scheduled and on-demand discovery of documents, emails, and files at rest
• Risk-scored findings with content snippets and match context for analyst review
• Coverage of locally cached cloud sync folders (OneDrive, Google Drive, Dropbox)
• Local PST and OST mailbox parsing with attachment extraction
• Throttled background scanning with CPU and I/O caps to preserve endpoint performance
• Offline operation with finding 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 discovery agent brings feature parity with Windows for Apple-managed environments — increasingly common in creative, executive, and engineering teams. It scans the local file system, Spotlight-indexed locations, and macOS versions of Microsoft Office and Apple iWork files, cataloging content with the same scan engine used elsewhere in the organization.

Key Capabilities

• Native scanning of HFS+ and APFS volumes including Time Machine targets
• Discovery across local Microsoft Office for Mac and iWork (Pages, Numbers, Keynote) files
• Mailbox cache scanning for Apple Mail and Outlook for Mac
• Uniform discovery rules and reporting 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 discovery agent. It focuses on file-system level scanning, command-line scan automation, and integration with common Linux office suites, making it suitable for organizations with mixed Windows/Linux user bases.

Key Capabilities

• File-system level scanning across ext4, XFS, Btrfs, and ZFS
• Command-line utility for scripted scans in CI/CD and automation pipelines
• Discovery across LibreOffice files, source repositories, and Maildir / mbox stores
• Central scan 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

3.4 Mobile (iOS & Android)

Mobile coverage extends sensitive-data discovery to the tablets and phones where modern work increasingly happens. The Veriket mobile experience is delivered through managed scan agents that inventory documents, attachments, and downloaded files within the corporate workspace.

Key Capabilities

• Managed scan agent within corporate workspace containers
• Inventory of documents, attachments, and downloaded files
• Mobile Device Management (MDM) friendly — deployable via Intune, Jamf, or equivalent
• Per-device finding reports surfaced in the central console

Supported Platforms

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

4. Office Productivity & Email

Veriket delivers first-class discovery integration with the tools where the majority of sensitive content is authored and exchanged — Microsoft Office and Exchange. Mailboxes, archives, and document stores are inspected with native parsers that extract message bodies, headers, and attachments for evaluation against the discovery rule set.

4.1 Microsoft Office (Desktop)

The Veriket discovery agent scans Microsoft Office desktop artefacts at rest — opening Word, Excel, PowerPoint, and Outlook files locally and reporting any findings to the central console. No add-in is required; discovery operates against the file system, not the running application.

Supported Applications

Supported Office Versions

• Microsoft 365 Apps for Enterprise (Current Channel)
• Office All Versions

4.2 Office 365 (O365)

For cloud-first organizations, Veriket integrates directly with Microsoft 365 services through modern API-based connectors. This delivers tenant-wide discovery across mailboxes, sites, and channels — without requiring a desktop footprint on every endpoint.

Covered Services

• MS Word, MS Excel, and MS PowerPoint files stored online
• Exchange Online mailboxes, including archives and shared mailboxes
• SharePoint Online and OneDrive for Business (see Section 5)
• Microsoft Teams file attachments, channel documents, and 1:1 chat files

Key Capabilities

• Tenant-level discovery without per-user configuration
• Incremental scans of new and modified content with delta tokens
• Integration with Microsoft Graph for metadata, permissions, and ownership context
• Consistent finding model across desktop, web, and mobile sources

4.3 Outlook Web App (OWA)

For organizations whose users access email through the browser, Veriket discovers content in OWA-hosted mailboxes by querying Exchange via EWS or Microsoft Graph. Discovery scope is identical to the desktop Outlook source — the same mailbox, the same parsers, the same finding output — independent of how the end user reads their mail.

Key Capabilities

• Mailbox-wide scanning including Inbox, Sent Items, Archive, and custom folders
• Attachment extraction and recursive content inspection
• Header and metadata inspection (sender, recipients, dates, message IDs)
• Tenant-wide deployment via Exchange Admin Center service principal
• Equally applicable to Exchange Online and Exchange Server 2019+

4.4 Zimbra Mail

For organizations running Zimbra Collaboration — a widely-adopted open-source alternative to Microsoft Exchange — Veriket provides a dedicated Zimbra connector that authenticates against the Zimbra admin SOAP API and enumerates user mailboxes for discovery. Mail bodies, attachments, calendar items, and contacts are all inspected with the same engine used for Microsoft mail.

Key Capabilities

• Domain-wide enumeration of accounts and aliases via Zimbra admin API
• Mail body, attachment, calendar, and contact discovery
• Per-mailbox and per-folder scoping for targeted scans
• Incremental discovery using item modification timestamps
• Consistent finding format with Microsoft mail sources

Supported Versions

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

5. Cloud Collaboration Platforms

Cloud storage and collaboration services have become the de facto document repository for most enterprises. Veriket discovers sensitive content in these environments through agentless, API-based connectors that enumerate every site, drive, and folder — surfacing findings 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 produces a per-site sensitivity inventory with permission and sharing context.

Supported Editions

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

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Key Capabilities

• Site-level and library-level scan scoping
• Incremental re-scans based on modification timestamps and delta tokens
• Permission and sharing-link inspection alongside content findings
• Awareness of 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 discovery that can cover every user account 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)
• Per-user inventory of sensitive content with size, age, and last-access metrics
• 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)
• Sharing and permission inspection for Drive items and shared links
• Externally accessible content surfaced in dedicated risk reports
• Consistent discovery 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 — often outside the awareness of the security team. Veriket provides a dedicated scanner service that discovers, inventories, and risk-scores this data in place, producing the foundation 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 discovery of every file within scope. Scans can be scheduled, throttled, and scoped by path, file age, file type, or ownership — and produce a complete sensitivity inventory of the share.

Supported File-Server Platforms

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

Key Capabilities

• Scheduled and on-demand scanning with rate limiting
• Per-file findings recorded centrally with content snippets and match context
• NTFS / SMB ACL inspection alongside content findings
• Detailed scan reports with sensitive content inventory by share, folder, and owner
• 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 inventory 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
• Parallel scanning with configurable concurrency and throttling
• Incremental scans that re-process only changed content

7. Structured Data Sources

In contrast to Siberson Veriket Data Classification — which focuses on unstructured content authored by end users — Veriket Data Discovery extends coverage into structured data tier: relational databases, NoSQL stores, cloud-managed databases, and modern data warehouses. The discovery engine connects to each source through a native driver or vendor API, samples records at configurable rates, and applies the same regex, dictionary, EDM, and AI classifier set used for unstructured content.

7.1 Relational Databases (RDBMS)

Veriket connects to relational databases using native JDBC and ODBC drivers and an account scoped to read-only permissions. The scanner enumerates schemas, tables, and views, samples rows according to the configured sampling policy, and applies content classifiers to every column. Results are produced at the column level — including the matched data type (e.g. TCKN, IBAN, email) and an estimated row-level prevalence.

Supported Engines

• Microsoft SQL Server 2016, 2017, 2019, 2022
• Oracle Database 12c, 19c, 21c, 23ai
• MySQL 5.7, 8.0, 8.4 and MariaDB 10.x, 11.x
• PostgreSQL 12, 13, 14, 15, 16, 17

Key Capabilities

• Read-only service account connection — no write activity to source databases
• Schema discovery with table, view, and column enumeration
• Configurable row sampling (fixed N, percentage, or full table)
• Column-level findings with data-type confidence and row prevalence
• Throttle controls to bound scanner load on production systems

7.2 NoSQL Databases

For document, wide-column, and key-value stores, Veriket uses each engine's native driver to enumerate collections or keyspaces, sample documents, and inspect every field — including nested objects and arrays. Schema-on-read sources are handled via dynamic field discovery: the scanner builds an effective schema from sampled documents and reports findings against it.

Supported Engines

• MongoDB 4.x, 5.x, 6.x, 7.x (self-managed and Atlas)
• Couchbase Server 7.x

Key Capabilities

• Native driver connection with read-only role binding
• Recursive inspection of nested documents and array fields
• Effective-schema construction for schema-less stores
• Incremental scans using oplog, change streams, or modification timestamps

8. Supported File Types

Veriket's scanner engine supports more than 400 file formats across documents, email, structured data, images, archives, database exports, 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.

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Inspection Modes

Full text — entire file contents are extracted and inspected against classifiers. OCR — image-based content is processed through optical character recognition before discovery. Metadata — only structured metadata fields (author, tags, EXIF) are inspected. Recursive — container is opened and every contained file is scanned individually. Structured — record-oriented data is extracted by schema and inspected column-by-column.

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.

9. Deployment Reference

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

Table 3. Deployment reference grouped by integration method and rollout phase.

Quick Links

Siberson Verikor Data Loss Prevention — https://www.siberson.com/products/verikor-datalossprevention/

Siberson Veriket Data Classification — https://www.siberson.com/products/veriket-dataclassification/

Siberson Veriket Data Discovery — https://www.siberson.com/products/veriket-datadiscovery/

Siberson Verifim File Integrity Monitoring — https://www.siberson.com/products/verifim-fileintegritymonitoring/

Contact Us — https://www.siberson.com/contact/

Last updated: 2026-05-08