Advise
Move quickly with AI, without losing control of it.
Governance frameworks, security controls, red-teaming and documentation that help you adopt AI responsibly and stay in control as you scale.
Overview
AI Security & Governance
Regulators, customers and boards increasingly expect organisations to show how their AI systems are governed, tested and monitored.
We put practical governance in place that is proportionate to risk, integrated with how your teams already work, and evidenced well enough to withstand scrutiny.
Problems we solve
- No inventory of where AI is already being used
- Concern about data leakage, prompt injection and model misuse
- Upcoming obligations under AI regulation and sector rules
- Security questionnaires from customers you cannot yet answer
What’s included
A complete engagement, end to end.
AI inventory
Discovery of sanctioned and shadow AI use across the organisation.
Risk framework
Risk tiering and controls aligned to recognised standards.
Runtime AI protection
Guardrail platforms such as Google Cloud Model Armor deployed in front of your AI applications to block prompt injection, data leakage and misuse in real time.
Red-teaming
Adversarial testing of LLM apps for injection, leakage and jailbreaks.
Model documentation
Model cards, data sheets and impact assessments.
Ongoing assurance
Monitoring, periodic reviews and audit-ready evidence.
Process
How the work unfolds.
Phase 1
Discover
Map AI systems, data flows and current controls.
Phase 2
Assess
Gap analysis against relevant frameworks and regulations.
Phase 3
Remediate
Implement policies, technical controls and testing.
Phase 4
Assure
Establish monitoring and a regular review cadence.
Technology
Tools we use, chosen on merit
Frameworks
- NIST AI RMF
- ISO/IEC 42001
- OWASP Top 10 for LLMs
Regulation
- EU AI Act readiness
- GDPR
- Sector-specific guidance
Tooling
- Google Cloud Model Armor
- Amazon Bedrock Guardrails
- Evaluation harnesses
- PII detection
- Audit logging
Sample outcomes
What clients typically see
- 100%
- Production AI systems inventoried and risk-tiered
- 30+
- Vulnerabilities found and fixed during red-teaming
- 8 wks
- From kick-off to an approved AI governance policy
Illustrative results from past engagements. Outcomes vary by context.
FAQ
Common questions
Do you provide legal advice?
No. We provide technical and governance expertise and work alongside your legal counsel, who remain responsible for legal interpretation.
Is this only for regulated industries?
No. Any organisation deploying AI benefits from knowing what it uses and how it is controlled. Customers increasingly ask.
Can you test systems built by other vendors?
Yes. We regularly red-team third-party and in-house AI applications.
How heavy is the governance process?
Proportionate. Low-risk tools get a lightweight check; high-risk systems get deeper review.
How does this relate to your compliance, testing and auditing service?
Security and governance puts the framework and controls in place. Our AI Compliance, Testing & Auditing service then independently tests your AI systems and produces the audit evidence that shows those controls work. Most clients use both.
Let’s discuss your project.
Tell us what you want to achieve with AI security & governance. A senior consultant will reply within one business day.