AI governance and enterprise GenAI risk
Define use-case ownership, data boundaries, acceptable risk and escalation responsibilities.
What we do / AI Security & Governance
Govern AI authority.
Secure its execution.
Bring governance and security into AI initiatives before autonomous behavior, sensitive data and supplier dependencies become difficult to control.
The executive question
Who owns the decisions an AI system makes, and what evidence supports its authority?
A mandate grounded in business priorities, risk and architectural consequences.
We connect C-suite decisions with architecture review and technical delivery. The aim is a clear account of what is changing, who owns it and what evidence supports the transition.
Scope of the mandate
Strategic intent.
Technical substance.
Services are tailored to the operating context and agreed engagement scope.
Agentic AI and AI security architecture
Examine agent permissions, tool access, system boundaries and human decision checkpoints.
Model and vendor security assessment
Assess model provenance, deployment choices, supplier responsibilities and relevant security dependencies.
AI control frameworks and evidence
Connect control requirements to testable evidence, monitoring ownership and documented exceptions.
EU AI Act readiness and architecture assurance
Map readiness questions and architectural evidence for specialist regulatory review; no compliance guarantee is implied.
Indicative outputs
Make the engagement reviewable.
Deliverables and acceptance criteria are agreed before work begins.
An AI use-case and ownership register
A security and governance assessment of the AI architecture
A proportionate control plan and evidence backlog
Independent Design Authority
Keep decisions connected to delivery.
Architecture conditions and implementation evidence belong in the same governance model.
Review the architecture
Test choices against business requirements, control boundaries and dependencies.
Govern the transition
Record decisions, assign delivery conditions and escalate material exceptions.
Examine the evidence
Review implementation against the agreed architecture and acceptance criteria.
Our operating model
Five disciplines. One decision trail.
A connected mandate from strategic intent to implementation evidence.
ADVISE
Frame the strategic decision.
GOVERN
Agree owners and decision rights.
ARCHITECT
Test the design and dependencies.
DELIVER
Control implementation conditions.
ASSURE
Review evidence and residual risk.
Enterprise advisory / Technical delivery
A critical transition.
A clear mandate.
Discuss the decisions, governance and implementation evidence your organization needs.
Start the conversation