The Intelligence Foundation of Data Security: Inside Siberson Veriket Data Classification

Siberson Veriket Data Classification is an enterprise-grade, AI-powered classification and labeling platform that embeds sensitivity labels and visual markings into files, enabling users and downstream security tools (like DLP) to consistently understand and enforce the right handling of information at all times.

Why Data Classification Matters Now

You cannot protect what you cannot identify. In most organizations, sensitive data is scattered across endpoints, collaboration tools, mail systems, and cloud storage. Without persistent, standardized labels embedded in the data itself, controls depend on guesswork, leading to false positives, missed risks, compliance gaps, and operational friction.

Classification is the difference between content-aware guesswork and identity-driven governance. It converts documents into self-describing assets that security tools can trust.

What Siberson Veriket Data Classification Does

Applies persistent, machine-readable labels to files, coupled with visual markings (headers, footers, watermarks) for user awareness.
Operates continuously across the lifecycle: at document creation, during editing, before sharing, and at rest.
Combines AI-powered detection with rules (keywords, regex, contextual analysis) for accurate, scalable coverage.
Feeds classification metadata to DLP, SIEM, email security, and access governance to drive consistent policy enforcement.

Common Labels

Public
Internal
Confidential
Restricted/Critical

Visual Markings

Headers/Footers with label text
Diagonal watermarks for “Draft” or “Confidential”

How It Works: Policy-Driven, AI-Assisted

Veriket’s policy engine translates corporate data handling requirements into automatic labeling decisions.

Policy taxonomy: organize by Privacy, Finance, Legal, IP, and more.
Targeting and scope: apply by user, group, endpoint, region, or data surface.
Region-aware enforcement: activate GDPR policies in the EU, KVKK in Turkey, etc.
Outcome mapping: detection events resolve deterministically to the right sensitivity level.

Detection Methods

AI-powered automated classification for unstructured, mixed-content documents.
Keyword/rule libraries for domain terms and internal codenames.
Regex patterns for PII and financial data (IBAN, ID, card numbers).
Contextual analysis to reduce false positives by validating surrounding content.

End-User Experience

Microsoft Office ribbon add-in: select and view labels inside Word, Excel, PowerPoint.
Right-click menus in Windows/macOS/Linux for fast, batch labeling.
Email composition classification; attachments inherit or are evaluated.
Silent automated labeling where policy dictates, with clear user visibility.

Open by Design: Works With Any DLP

Veriket writes standardized labels and GUIDs into file metadata. DLP platforms read these labels as conditions for policy enforcement.

Native synergy with Siberson Verikor DLP for deterministic, label-driven actions.
Vendor-agnostic integrations validated with Forcepoint, Broadcom/Symantec, McAfee/Trellix, Microsoft, Digital Guardian, Trend Micro, Zecurion, Safetica, and others.
Defense-in-depth: labeled content enforced by classification; unlabeled content still inspected by DLP content analysis.

Strategic outcome: fewer false positives, faster incident triage, and consistent handling across email, endpoint, web, cloud, and storage.

Deployment Models

On-Premises: full data sovereignty, customization, and compliance alignment for regulated or government environments.
SaaS: rapid rollout with Siberson-managed upkeep, elastic scale, and automatic updates.

Who Benefits Most

Financial services and insurance meeting GDPR/PCI mandates.
Healthcare and life sciences enforcing PHI controls.
Legal, consulting, and professional services managing privileged matter files.
Government/public sector formal classification schemes.
Technology/R&D protecting IP and source code.
Multinationals operating under overlapping jurisdictional rules.

Competitive Differentiators

Open DLP ecosystem: use existing enforcement investments without rip-and-replace.
GDPR/KVKK-first design: native, documented regional compliance support.
Linux and Pardus endpoint coverage: critical for public sector and mixed OS estates.
Fully flexible taxonomy and markings: align labels to your governance language.
Extended governance attributes: consent status, retention period, export permissions, jurisdiction validity.
Fast time-to-value: production enforcement in days.

Example Integration Flow: Classification-Driven DLP

[ Veriket Data Classification ]
      │
      │ (Metadata label + GUID)
      ▼
[ Classified Files ]
      │
      ▼
[ DLP Engine (Siberson Verikor or 3rd party) ]
      │
      ▼
[ Policy Enforcement: Block | Allow | Encrypt | Notify | Audit ]

Start in audit mode; validate label-to-policy mappings and GUIDs.
Roll out block/allow/encrypt actions as label confidence stabilizes.
Continuously refine rules using reporting insights and incident feedback.

Reporting and Analytics

Executive dashboards: active policies, classifications, coverage, utilization.
Label distribution and file-type concentration: see where sensitive data lives.
Scope coverage: mail, files, data at rest — verify program reach.
Drill-down traceability and exportable evidence for audits.

Licensing and Commercials

Per-user, per-year licensing across On-Prem and SaaS.
Available standalone or as part of the Siberson platform.
Volume tiers and partner programs supported.

Tip: Many customers adopt Veriket first to build a cleanly labeled data estate, then layer DLP enforcement for near-deterministic controls and lower operational overhead.

Customer Story: From Guesswork to Governance

A multinational bank struggled with DLP noise and audit scrutiny. By deploying Veriket across endpoints and Office, it embedded consistent Confidential/Restricted labels into documents and emails. Its existing DLP then consumed these labels as primary conditions. Result: 40–60% reduction in false positives reported within the first quarter, faster incident handling, and clean, exportable evidence packs for ISO 27001 and GDPR audits.

Getting Started

Define your label taxonomy and visual marking style with compliance and data owners.
Map jurisdictional rules (GDPR, KVKK) to region-aware policies.
Deploy pilot to high-value groups; run in audit mode and validate GUID mappings in DLP.
Roll out broadly; transition to block/encrypt where appropriate.
Use dashboards to measure coverage, refine rules, and demonstrate governance.

FAQ

Yes. Veriket can be licensed and deployed independently and integrates with major third-party DLP platforms via metadata label reading.

Use automated policies to classify at rest and during user interaction; your DLP continues to provide a safety net via content inspection until classification coverage is complete.

Yes. Linux and Pardus agents are key differentiators, especially for public sector and mixed-OS environments.

References

Last updated: 2026-04-24