Service / Enterprise Transformation & Trust

Digital Trust Architecture

Design an integrated trust architecture connecting identity, security, privacy, AI governance, cryptographic resilience, evidence and operational assurance.

Business context

What this capability solves

Organizations increasingly manage cyber, privacy, AI and crypto risk as separate programmes, creating gaps at system boundaries. Digital Trust Architecture defines how control domains work together and exchange evidence.

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.

Trust Domains

Map identity, data, privacy, AI, cryptography, security and resilience responsibilities.

Shared Control Plane

Common policy, identity, risk taxonomy, evidence, logging and workflow patterns.

Technology Integration

Connect GRC, SIEM/SOAR, IAM, DLP, AI gateways, PKI/KMS and data platforms.

Evidence Architecture

Normalize findings, ownership, control evidence and remediation state.

Trust Metrics

Define board-level posture and domain-level operational KPIs.

Transformation Roadmap

Sequence foundational controls, platforms, migration and operating-model changes.

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

Digital trust modernization
AI + privacy convergence
PQC programme integration
Regulated cloud adoption
Security platform consolidation
Board risk transformation

Key deliverables

Trust-domain architecture
Integration blueprint
Shared taxonomy
Evidence model
Target operating model
Roadmap and investment priorities
Trust dashboard design

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

Cross-domain evidence reuseUnowned risk reductionIntegrated incident coverageControl duplication reductionTrust KPI freshnessRoadmap delivery