Data Security Framework

Methodology

Security model across classification, access control, encryption, monitoring and incident response for data assets.

Components

Data classification; Access control; Encryption & masking; Monitoring & DLP; Incident response; Security assurance.

Governance

CISO/security own; data owners classify; audit assures. L1 Initial L2 Developing L3 Defined L4 Managed L5 Optimised Ad hoc Basic, siloed Standardised & Quantified & integrated Predictive & embedded governed

Maturity levels

Implementation roadmap

Diagnose (assess maturity) → Design (tailor framework & governance) → Build (policies, standards, controls, pipelines) → Embed (training, culture, adoption) → Assure (test, benchmark, re-score).

Deliverables

Framework document, governance & RACI, policy/standard templates, maturity score & roadmap, board reporting pack.

Advisory opportunities

Data-security review; Classification & DLP build; Incident-response enablement.