Cybersecurity service
AI Governance & Security
Governance and security structure for AI adoption in institutional environments, where decisions affect citizens and must remain explainable, contestable and auditable.
The problem
Why organisations engage this service
- AI features are adopted operationally before governance, accountability and data controls are defined.
- Model and prompt interfaces create new data-exposure and authorisation paths.
- Public institutions require documented justification for automated or assisted decisions.
Scope
What is covered
- AI use-case inventory and risk classification
- AI governance framework and accountability structure
- Data governance, minimisation and retention for AI systems
- Security review of AI applications, prompts and integrations
- Model access control and logging design
- Third-party AI service risk assessment
- Human-oversight and escalation design
- Responsible-use policy and staff guidance
Methodology
How the work is performed
- 01
Inventory
Where AI is used, by whom, on which data and with what effect.
- 02
Classify
Risk classification by impact on citizens, rights and operations.
- 03
Control
Governance, security and oversight controls proportionate to risk.
- 04
Assure
Security testing of AI-enabled interfaces and integrations.
- 05
Sustain
Review cadence, monitoring and policy maintenance.
Deliverables
What you receive
- AI use-case register with risk classification
- AI governance framework and accountability matrix
- Security assessment of AI-enabled interfaces
- Data-handling and retention guidance for AI systems
- Responsible-use policy and awareness material
Standards
Reference frameworks
- ISO/IEC 42001 concepts
- NIST AI Risk Management Framework
- OWASP Top 10 for LLM Applications
Framework references describe the basis of our methodology. They are not a statement of certification, accreditation or regulatory compliance.
Typical use cases
Where it applies
- Governance structure for an AI-assisted citizen grievance system
- Security review of a departmental AI assistant
- Risk assessment of a third-party AI service before adoption
- Responsible-use policy for staff use of generative AI tools
Engagement model
How we contract and deliver
Delivered as a governance advisory assignment, a security assessment, or a combined workstream inside a larger programme.
Procurement integrity note
Certifications, empanelments, accreditations, professional credentials and past-performance references remain attributable to the entity or professional that holds them. No regulatory or compliance guarantee is offered for any service.
Next step
Talk to our team
FAQs