Service / Enterprise Transformation & Trust

Privacy by Design Engineering

Embed privacy requirements directly into product architecture, data models, AI systems and engineering delivery gates.

Business context

What this capability solves

Privacy defects become expensive when discovered after launch. Privacy by Design translates principles into engineering requirements and evidence at concept, architecture, build, pilot and production gates.

EBP Integra delivery principle

Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.

Deep-dive capabilities

Capability model

Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.

Purpose & Minimization

Purpose-specific schemas, field allowlists and collection justification.

Identity Safety

Tokenization, masking, pseudonymization and safe entity-resolution thresholds.

Access & Separation

RBAC/ABAC, tenant separation, key separation and privileged control.

Retention & Deletion

TTL, archival, deletion propagation and evidence of disposal.

Explainability & Rights

Reason codes, correction paths, human review and data-subject rights propagation.

AI / Vendor Guardrails

No-training requirements, prompt/data controls, subprocessors and model-data boundaries.

Reference architecture

How the capability fits together

Final topology, control placement and deployment model are validated during discovery and detailed design.

Business & Governance

Objectives, risk appetite, regulatory/standard requirements, owners and decision rights.

Assessment & Design

Current-state evidence, target controls, architecture, priorities and implementation backlog.

Delivery & Integration

Technical/process implementation, enterprise integration, testing and change enablement.

Operate & Assure

KPIs, control testing, incident/escalation, evidence refresh, management reporting and continuous improvement.

Controls & governance

Risk-based scope and acceptance criteria
Role-based ownership and approvals
Evidence and audit trail
Exception and escalation workflow
Quality review before sign-off
Defined handover and operating procedures

Priority use cases

AI product development
eKYC/KYB platforms
Healthcare/data platforms
Customer analytics
Data lake modernization
New digital product launch

Key deliverables

PbD requirement catalogue
Data-flow diagram
Privacy threat model
Engineering control matrix
Release-gate checklist
Test evidence
Residual-risk decision

Integration considerations

Identity and organization model
Asset/data inventories
ITSM/workflow
SIEM/logging
Document/evidence repositories
GRC and management reporting

Implementation

Phased delivery

Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.

1. DiscoverConfirm scope, stakeholders, evidence, dependencies and risk drivers.

2. DesignDefine target operating model, controls, architecture and prioritized roadmap.

3. ImplementDeploy processes/technology, integrate, test and train accountable teams.

4. AssureMeasure outcomes, close gaps, hand over and establish continuous governance.

Outcome and KPI framework

PbD gate pass rateData-field reductionRetention test passHigh-impact human-review coverageDeletion propagationPrivacy defect escape rate