Secure AI Integration
Integrate AI systems into existing IT without expanding the attack surface.
What this is about
Many organisations are adopting AI, or employees use tools on their own, without anyone clarifying what the system may access and which data flows out to the internet. Secure AI integration means letting AI reach only the data and systems its task requires, and keeping every access traceable.
What we deliver
- Architecture review of existing or planned AI integrations: data flows, permission models, network segmentation.
- Concept for data sovereignty and routing: what stays local, what may go to external providers.
- Hardening recommendations for agentic workflows, from prompt-injection defence to network isolation.
- Compliance bridge to NIS-2 and GDPR where applicable.
AI introduction and workshops
- Management briefing: Opportunities and risks of AI, the responsibility of management, and how the EU AI Act and NIS-2 fit in.
- Team workshop: Which data may go into which tool, how to handle confidential data, what prompt injection is, and which risks agents with tool access bring.
- AI usage policy, drafted together with you: approved tools and data categories.
- User stories: We identify and assess use cases by benefit, feasibility and effort.
