Official public technical overview and resource center for Siberson Veriket Data Classification.
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This is the public documentation repository for Siberson Veriket Data Classification.
It is intended to provide:
- A public product overview
- High-level architecture information
- Integration patterns
- Evaluation and proof-of-concept guidance
- Links to official Siberson resources
- Searchable technical content for customers, partners and security teams
This repository does not contain:
- Proprietary Veriket source code
- Private product-development repositories
- Internal build or deployment pipelines
- Customer-specific configurations
- Production credentials or secrets
- Confidential architecture documents
- Unreleased roadmap information
- Internal support tickets or vulnerability details
Siberson maintains separate private repositories for proprietary development and internal engineering workflows. This public repository is intentionally limited to approved, non-confidential content.
Siberson Veriket Data Classification helps organizations identify, classify and label sensitive information when data is created, edited, saved, shared or sent.
Veriket combines:
- User-driven classification
- Policy-based automatic classification
- AI-assisted classification in supported editions
- Visual markings such as headers, footers and watermarks
- Persistent, machine-readable classification metadata
- Centralized policy, identity and audit management
- Integration context for DLP, SIEM, email security and governance platforms
The result is a consistent data identity layer that helps security controls understand the sensitivity and handling requirements of enterprise information.
Organizations cannot consistently protect, govern or audit information that has not been identified and labeled.
A structured classification program helps security and governance teams:
- Standardize how sensitive information is handled
- Improve DLP decision quality
- Reduce context-free security decisions
- Make data-handling requirements visible to users
- Apply persistent controls across files, documents and email
- Generate audit-ready evidence
- Support secure enterprise AI and analytics workflows
- Align users, policies and security technologies around a common taxonomy
| Capability | Description |
|---|---|
| Manual classification | Users classify documents, files and email through familiar business workflows. |
| Policy-based classification | Configurable rules apply or recommend labels according to content, context and organizational policy. |
| AI-assisted classification | Content-aware AI can suggest or apply an appropriate sensitivity label in supported editions. |
| Persistent metadata | Classification labels and identifiers remain associated with supported content. |
| Visual markings | Headers, footers, document watermarks and dynamic screen watermarks communicate sensitivity. |
| OCR and fingerprinting | Scanned documents, images and known sensitive content patterns can be evaluated in supported editions. |
| Email classification | Classification can be validated or enforced in supported Outlook and web-mail workflows. |
| Central policy management | Administrators manage classifications, policies, roles, endpoints and reporting centrally. |
| Audit and reporting | Classification and policy activity can support operational monitoring and compliance review. |
| Security integrations | Classification context can be consumed by DLP, SIEM, email security and governance controls. |
Capabilities vary by edition, platform and deployment model. Refer to the official Veriket product page for current information.
Veriket is designed to support enterprise productivity and endpoint environments, including:
- Microsoft Windows
- Microsoft Office
- Microsoft 365
- Outlook and Outlook Web Access
- SharePoint and OneDrive
- macOS
- Linux and Pardus
- Google Workspace
- Zimbra
- PDF documents, images, archives and general file workflows
flowchart LR
A[User creates, edits, saves or sends content] --> B[Veriket classification workflow]
B --> C{Classification decision}
C --> D[User-selected label]
C --> E[Policy-based label]
C --> F[AI-assisted label]
D --> G[Persistent metadata and visual markings]
E --> G
F --> G
G --> H[DLP and email security]
G --> I[SIEM and audit systems]
G --> J[Data governance and compliance]
This diagram is conceptual and does not disclose Siberson's proprietary implementation architecture.
Prompt users to classify information during save or send operations, establishing security context at the beginning of the data lifecycle.
Apply approved classification policies to existing repositories and legacy content.
Provide DLP controls with persistent classification context in addition to content inspection.
Require or validate classification before messages and attachments are sent.
Use visible document markings and attributable screen watermarks to reduce accidental or intentional disclosure risk.
Maintain classification and policy events that can support internal governance and regulatory assessment processes.
Veriket can support information-classification, labeling and data-protection programs associated with:
- GDPR
- KVKK
- ISO/IEC 27001
- PCI DSS
- NIS2
- Sector-specific information governance requirements
Technology alone does not establish compliance. Organizations should map product controls to their legal obligations, policies, risk model and operating procedures.
Veriket can provide classification context to:
- Data Loss Prevention systems
- Security Information and Event Management platforms
- Email security gateways
- Access-governance systems
- Encryption and rights-management tools
- Data discovery and governance platforms
- Supported enterprise applications and integrations
See Public Integration Patterns for a non-confidential implementation overview.
Veriket supports enterprise scenarios that may include:
- On-premises deployment
- SaaS deployment
- Centralized administration
- Multi-tenant scenarios in supported editions
- Directory and identity integration
- Role-based administration
- Endpoint-based classification workflows
Detailed deployment topology, sizing, security configuration and customer-specific architecture are provided through official Siberson channels.
A Veriket evaluation can include:
- Classification taxonomy and label design
- Target user and endpoint scope
- Office, email and file workflow validation
- Policy and automatic-classification scenarios
- Metadata persistence validation
- DLP or SIEM integration scenarios
- Reporting and audit requirements
- Endpoint performance validation
- Operational readiness assessment
- Production rollout criteria
To arrange a technical assessment, demonstration or proof of concept, use the Siberson contact page.
- Veriket Data Classification Product Page
- Official Veriket Documentation
- Microsoft Marketplace Listing
- Siberson Data Security Platform
- Contact and Demo Request
Before publishing a change, review PUBLIC-CONTENT-POLICY.md.
Do not commit private repository content, proprietary code, customer information, credentials, detailed internal diagrams or non-public product information.
Do not disclose suspected vulnerabilities through public GitHub issues.
Follow SECURITY.md and use Siberson's official support or contact channels.
Siberson, Veriket, Verikor and associated product names, logos and marks are proprietary assets of Siberson.
This repository is provided for public technical information and product evaluation. It does not grant access to, or licensing rights for, Siberson's proprietary software or private source-code repositories.
Siberson develops enterprise data security technologies for discovering, classifying, protecting and monitoring sensitive information across endpoints, business applications and data infrastructure.
Discover. Classify. Prevent. Prove.