Cryptika helps organizations classify data by business context, sensitivity, criticality, ownership, flow, handling requirement, retention need, access restriction, storage location, transfer condition, and governance responsibility.

A strong data classification program helps organizations protect sensitive information, support privacy obligations, improve access decisions, prepare audit evidence, and reduce the risk of uncontrolled data exposure.

Data classification supports access control, data loss prevention, privacy governance, retention, masking, encryption, supplier risk, audit readiness, business continuity, and incident response.

What Data Classification Means

Data classification is the process of identifying data, understanding its business meaning, assigning an appropriate classification, and defining how it should be accessed, stored, transferred, retained, masked, shared, and disposed of.

The work should connect data owners, business units, systems, applications, reports, documents, records, data flows, legal requirements, regulatory expectations, and security controls.

Why Organizations Need It

Organizations cannot protect data effectively if they do not know what data they hold, where it exists, who owns it, who can access it, how it moves, how long it should be retained, and which handling rules apply.

How Cryptika Delivers the Work

• Confirms data classification objectives, scope, business units, systems, and data sources.
• Conducts workshops with business, IT, information security, compliance, privacy, legal, and data owners.
• Reviews data elements, business tags, data flows, system windows, reports, records, and repositories.
• Defines or refines classification levels and decision rules.
• Maps data to owners, systems, processes, sensitivity, criticality, and handling requirements.
• Develops handling rules for access, storage, transfer, retention, masking, disclosure, and disposal.
• Prepares data classification registers and evidence-ready documentation.
• Supports awareness or control owner enablement where required.

Expected Deliverables

• Data classification methodology or decision rules.
• Data classification register.
• Business tag catalogue where applicable.
• Data owner and custodian mapping.
• Data flow and system mapping where in scope.
• Handling rules for each classification level.
• Access, masking, retention, storage, transfer, and disclosure recommendations.
• Evidence checklist for audit or regulatory review.
• Control owner guidance or workshop materials.