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Getting Started Guide

Getting Started with Siberson Veriket Data Classification

Overview

Siberson Veriket Data Classification is an enterprise data classification solution designed to help organizations identify, label, and manage information according to its sensitivity level and business value. It enables users and administrators to classify documents, emails, and enterprise data assets in line with internal security policies, compliance requirements, and data governance standards.

By applying visible and metadata-based classification labels, Veriket helps organizations improve data awareness, reduce accidental data exposure, and strengthen the effectiveness of complementary security solutions such as DLP, SIEM, email security, and data discovery platforms.

This guide provides a starting point for administrators and users who will configure, manage, and use Veriket Data Classification across the organization.

Key Capabilities

Siberson Veriket Data Classification provides a structured and scalable approach to enterprise data governance through the following capabilities:

  • User-driven and policy-based classification
  • Classification labels for documents, emails, and files
  • Visual markings such as headers, footers, and watermarks
  • Metadata tagging to support downstream security systems
  • Centralized policy and label management
  • Endpoint-based classification support
  • Integration-ready architecture for DLP and compliance ecosystems
  • Reporting and visibility into classification activities

These capabilities help organizations build a consistent data handling culture and ensure that sensitive information is properly identified before it is shared, stored, or processed.

Before You Begin

Before deploying Siberson Veriket Data Classification, administrators should review the following preparation steps:

1. Define Classification Levels

Start by defining the classification model that will be used across the organization. Typical classification levels may include:

  • Public
  • Internal Use
  • Confidential
  • Highly Confidential
  • Restricted

The classification structure should be aligned with the organization’s data governance strategy, regulatory obligations, and business risk appetite.

2. Identify Target Data Channels

Determine where classification will be applied. Depending on the deployment scope, Veriket may be used for:

  • Microsoft Office documents
  • Email messages
  • PDF files
  • Endpoint files
  • Shared folders
  • Cloud or collaboration environments
  • Business-critical data repositories

A clear scope helps administrators design policies that are practical, enforceable, and measurable.

3. Prepare User Groups and Roles

Define which users, departments, and business units will use the classification solution. Classification requirements may differ between departments such as finance, legal, HR, sales, IT, and executive management.

Role-based planning enables organizations to apply the right classification policies to the right users without creating unnecessary operational complexity.

4. Review Compliance and Security Requirements

Veriket Data Classification can support compliance-driven data governance initiatives such as:

  • KVKK
  • GDPR
  • ISO 27001
  • Internal data handling policies
  • Sector-specific regulatory requirements

Before implementation, review which data types require classification and how labels should support auditability, reporting, and policy enforcement.

1. Access the Management Console

Log in to the Siberson Veriket Management Console using an authorized administrator account. The management console provides centralized control over classification policies, labels, user groups, reporting, and system configuration.

After logging in, review the main dashboard and navigation structure to understand the available modules and management areas.

2. Configure Classification Labels

Create the classification labels that will be presented to users or automatically applied based on policy rules.

Each label should include:

  • Label name
  • Description
  • Sensitivity level
  • Visual marking rules
  • Metadata tagging behavior
  • Applicable user groups or departments
  • Optional enforcement actions

Clear label definitions help users make accurate classification decisions and reduce inconsistency across the organization.

3. Define Visual Marking Rules

Visual markings help users and recipients quickly understand the sensitivity level of a document or email.

Administrators may configure:

  • Header text
  • Footer text
  • Watermark content
  • Label color or style
  • Positioning rules
  • Document or email-specific marking behavior

For example, a confidential document may include a visible footer stating that the content is intended for internal and authorized use only.

4. Configure Metadata Tagging

Metadata tagging enables classification information to be embedded into files or emails. This allows other security tools to recognize the classification level and apply additional controls.

Metadata can be used by:

  • DLP systems
  • Email security gateways
  • SIEM platforms
  • Data discovery tools
  • Document management systems
  • Compliance reporting solutions

This makes Veriket a strategic layer in the broader enterprise data protection architecture.

5. Create Classification Policies

Classification policies define how and when labels should be applied. Policies may be configured based on user selection, file type, content, location, department, or organizational rules.

For the initial rollout, it is recommended to begin with simple and business-aligned policies. For example:

  • Require users to classify Office documents before saving
  • Require email classification before sending
  • Apply default labels for specific departments
  • Allow only approved users to select highly sensitive labels
  • Apply visual markings based on classification level

A phased policy design helps improve adoption and minimizes disruption to daily business workflows.

6. Deploy the Endpoint Agent

Install the Siberson Veriket Data Classification Endpoint Agent on target user devices. The agent enables classification functionality on endpoints and integrates with supported applications.

Before enterprise-wide deployment, run a controlled pilot with selected users and departments. This allows the project team to validate usability, policy accuracy, compatibility, and performance.

For larger environments, deployment may be performed using centralized tools such as Group Policy, SCCM, Microsoft Intune, or other endpoint management platforms.

7. Validate Classification Behavior

After deployment, test the classification process across selected scenarios:

  • Creating a new document
  • Saving an existing document
  • Sending an email
  • Applying different classification levels
  • Checking visual markings
  • Verifying metadata tags
  • Confirming policy enforcement behavior

Validation ensures that labels, policies, markings, and user workflows operate as expected before broader rollout.

8. Monitor Usage and Improve Policies

Use reporting and monitoring capabilities to review classification activity across the organization.

Administrators can analyze:

  • Most frequently used labels
  • Department-based classification behavior
  • Unclassified data trends
  • Policy exceptions
  • User adoption levels
  • Potential misclassification risks

These insights help security and compliance teams continuously improve policies and increase classification maturity.

Best Practices

To achieve strong business adoption and governance value, consider the following best practices:

  • Keep the initial classification model simple and easy to understand.
  • Use clear label names that match business language.
  • Start with pilot users before full deployment.
  • Provide short user guidance for each classification level.
  • Avoid creating too many labels in the first phase.
  • Align labels with DLP, compliance, and data governance requirements.
  • Use visual markings only where they add operational value.
  • Review classification reports regularly.
  • Update policies as business processes and regulations evolve.
  • Communicate the purpose of classification clearly to end users.

Common Use Cases

Siberson Veriket Data Classification can support multiple enterprise scenarios, including:

  • Classifying confidential business documents
  • Labeling emails before external sharing
  • Supporting DLP policy enforcement
  • Improving sensitive data visibility
  • Strengthening KVKK, GDPR, and ISO 27001 compliance initiatives
  • Reducing accidental data leakage
  • Supporting document governance and audit readiness
  • Enhancing data awareness among employees
  • Creating a structured foundation for data discovery and protection

Next Steps

After completing the initial setup, administrators can continue with detailed knowledge base articles for the following areas:

  • Management Console Configuration
  • Classification Label Management
  • Policy Management
  • Endpoint Agent Installation
  • Microsoft Office Classification
  • Email Classification
  • Visual Marking Configuration
  • Metadata Tagging
  • Reporting and Monitoring
  • User Role and Permission Management

By following these steps, organizations can establish a strong foundation for consistent data classification, improve data handling discipline, and enhance the overall effectiveness of their data security strategy with Siberson Veriket Data Classification.

Last updated: 2026-05-05

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