AI Security & Governance
Adopt AI without inheriting unmanaged risk.
Most organisations are adopting AI considerably faster than they are governing it.
The underlying questions are the same ones you would ask of any new system — what data does it touch, who can access it, what does it connect to, what happens when it behaves unexpectedly. What has changed is that the answers are less well understood, the tools are often adopted without procurement involvement, and the failure modes are unfamiliar.
We are not here to slow adoption down. We are here to make sure you know what is in use, what it exposes, and who owns the decision.
Know what is in use, and what it touches.
AI Use Case Inventory
Establish what AI is actually deployed across the organisation, what data it processes and which business decisions depend on it.
Shadow AI Discovery
Identify the tools staff have adopted without approval — usually the largest source of unmanaged data exposure, and rarely malicious.
AI Risk Assessment
Assess data flows, retention, training use, model access and the consequences of incorrect or manipulated output.
LLM & Application Testing
Test AI-enabled applications for prompt injection, data leakage, insecure tool and plugin use, excessive agency and output handling flaws.
Governance Framework
Acceptable use policy, approval routes, human oversight requirements and a register of what has been sanctioned and why.
ISO/IEC 42001 Alignment
Align to the AI management system standard where formal assurance is required by clients or regulators.
Supplier AI Assurance
Assess how your vendors use AI with your data — increasingly the exposure you carry without ever having deployed a model yourself.
AI-Enabled Threats
Understand how attackers are using AI against you — more convincing social engineering, synthetic identity and voice, and faster exploit development.
Board Reporting on AI Risk
Give leadership a defensible position on AI: what is approved, what is prohibited, what is being monitored and who is accountable.
Adoption that continues, safely.
A clear view of where AI is in use and what it exposes, controls proportionate to the actual risk, and a governance model that lets the business keep moving rather than one that drives adoption underground.
Often combined with
Start with what is already in use.
Most organisations are surprised by the inventory. It is the cheapest and most revealing place to begin.