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Architect

AI Security

As AI systems become central to enterprise operations, their security posture matters as much as their capabilities. We help organisations adopt AI responsibly: designing secure architectures, establishing governance processes, and managing the unique risks that LLMs and AI agents introduce in regulated environments.

What's Included

  • AI risk assessment: threat modelling for LLM and agentic pipelines, model supply chain, and data inputs
  • Secure architecture design for cloud-hosted and self-hosted LLM deployments across providers and models
  • Data security, privacy controls, and access governance for AI systems and agentic workflows
  • AI governance framework and responsible AI policy aligned to EU AI Act and industry requirements
  • Model lifecycle management, audit trails, and AI-specific incident response process design

Expected Outcomes

  • Secure-by-design AI deployments satisfying regulatory and compliance requirements, independent of cloud provider or LLM vendor
  • Clear governance processes for responsible AI adoption across your organisation
  • Reduced risk from prompt injection, model manipulation, data leakage, and AI-specific attack vectors

Planning to deploy AI or AI agents in your enterprise environment?