To provide organisations with a complete, secure, and responsible framework for adopting Artificial Intelligence. This work package delivers:
A full AI Security Reference Architecture
A structured consultancy service offering
A modular delivery methodology
Clear outputs, artefacts, and deliverables
A roadmap for secure, compliant, ethical AI adoption
This is designed for charities, SMEs, public‑sector teams, and enterprise clients.
By the end of the engagement, clients will have:
A tailored AI Security Reference Architecture
A full assessment of AI risks, controls, and governance gaps
A secure AI operating model aligned with Zero Trust
A responsible AI governance framework
A secure data, model, and API architecture
A roadmap for secure AI adoption
A set of actionable recommendations and implementation steps
The architecture is built on eight pillars, each representing a critical security domain.
Pillar/Focus Area Outcome
Governance & Responsible AI Ethical, transparent, accountable AI use
Identity & Access Security Strong protection for AI systems and users
Data Security & Privacy Secure, compliant, minimal data use
Model Security Protection of models from theft, misuse, and manipulation
Application & API Security Secure AI endpoints and integrations
Infrastructure & Cloud Security Hardened, monitored, Zero Trust‑aligned environments
Monitoring, Detection Continuous oversight and threat detection
Lifecycle Management Secure development, deployment, and maintenance
Each pillar includes principles, controls, and implementation guidance.
Transparency
Accountability
Human oversight
Fairness
Explainability
Responsible AI Policy
AI Risk Assessments
Model documentation (datasheets, model cards)
Oversight roles (AI Lead, Data Protection Lead)
Governance Framework
Responsible AI Charter
AI Risk Register
MFA everywhere
Role‑based access control
Just‑in‑time privileged access
Conditional access
Identity governance for AI endpoints
Identity & Access Control Matrix
Secure Access Pathway
Privileged Access Review
Data minimisation
Encryption in transit and at rest
Secure data pipelines
Privacy‑preserving techniques
Data classification for AI workloads
Data Protection Checklist
Secure Data Pipeline Architecture
Data Flow Mapping
Model theft
Model inversion
Data poisoning
Adversarial inputs
Prompt injection
Model access control
Model watermarking
Adversarial testing
Content safety layers
Secure model storage
Model Security Framework
Adversarial Testing Plan
Model Access Governance
API gateways
Rate limiting
Input validation
Output filtering
Abuse detection
Secure AI API Architecture
API Abuse Prevention Guide
API Security Testing Report
Zero Trust segmentation
Private endpoints
Secrets management
Secure containers
Cloud posture management
Cloud AI Security Blueprint
Infrastructure Hardening Checklist
Secure Deployment Architecture
Logging and audit trails
Behavioural analytics
Threat detection rules
Incident response playbooks
AI Security Monitoring Framework
Incident Response Playbook
Threat Detection Ruleset
Version control
Model lineage tracking
Secure CI/CD pipelines
Testing and validation
Continuous monitoring
MLOps Security Framework
Secure Deployment Checklist
Model Lifecycle Governance
This is the client‑facing service offering you can deliver.
AI maturity assessment
AI risk assessment
Data flow mapping
Identity & access review
Cloud posture review
AI Security Assessment Report
Gap analysis
Risk register
Design of AI Security Reference Architecture
Data, model, and API security design
Governance and responsible AI framework
Zero Trust alignment
Full AI Security Reference Architecture
Governance & Responsible AI Framework
Secure AI Operating Model
Prioritisation of controls
Roadmap creation
Implementation sequencing
Budget and resource planning
AI Security Roadmap
Implementation Plan
Control Prioritisation Matrix
Executive briefings
Technical deep‑dives
Staff training
Secure AI usage workshops
Training materials
Secure AI Usage Guide
AI Security Playbooks
Quarterly reviews
Architecture updates
Threat landscape updates
Governance refresh
Quarterly AI Security Report
Updated risk register
Updated architecture artefacts
AI Security Reference Architecture
Governance & Responsible AI Framework
Identity & Access Control Matrix
Secure Data Pipeline Architecture
Model Security Framework
Secure AI API Architecture
Cloud AI Security Blueprint
AI Security Monitoring Framework
MLOps Security Framework
AI Security Roadmap
Executive Summary