AI creates powerful new capabilities — and new attack surfaces. We secure your models, data and pipelines, and put responsible-AI governance in place to keep you compliant.
The challenge
- !AI introduces new attack surfaces — prompt injection, data leakage, model theft.
- !Regulators and clients now ask how your AI is governed and secured.
- !Bias, hallucination and misuse carry real reputational and legal risk.
Our approach
- 1
Assess
Threat-model your AI systems and data flows against known AI risks.
- 2
Test
Red-team models and LLMs for prompt injection, jailbreaks and leakage.
- 3
Control
Add guardrails, access controls, PII protection and monitoring.
- 4
Govern
Responsible-AI policies, bias testing and audit-ready documentation.
What you get
- AI/LLM threat modelling & risk assessment
- Adversarial testing & LLM red-teaming
- Guardrails, data-privacy & access controls
- Responsible-AI governance & audit documentation
Frequently asked
How does this relate to your Cybersecurity pillar?
It extends it to AI-specific threats — we secure the model, data and pipeline, aligned with your wider ISMS and SOC.
Can you test AI systems we didn't build?
Yes — we assess and red-team third-party and in-house AI alike.