We help organisations govern AI applications, data flows and access so that sensitive information remains protected and responsibilities are clearly defined.
Generative AI, copilots and AI agents are often introduced faster than policies, responsibilities and technical controls can keep pace. This creates blind spots around data, permissions and accountability.
We create transparency across AI services and relevant data flows, assess risks and develop a security framework that enables productive use without losing sight of protection requirements and operational processes.
Designed across vendors, compatible with existing security and governance processes and documented in a clear and traceable manner.
Once AI services are used in day-to-day operations, new requirements arise around data, access, accountability and traceability.
Copilot, ChatGPT and other AI services are used in daily business processes and may process internal or sensitive information.
Autonomous agents and AI-supported workflows access systems, data and actions while responsibilities remain insufficiently defined.
The use of AI is subject to internal, industry-specific or legal requirements and must remain transparent and traceable.
Employees use AI tools without central visibility, binding policies or clearly defined rules for sharing data.
Prompts, file uploads, interfaces and automated outputs may contain confidential or business-critical information.
AI applications rely on external models, interfaces or third-party providers with varying security, data protection and dependency risks.
We combine governance, visibility and technical controls into a practical security framework for AI services, models and agents.
Tell us which AI services are already in use or being planned. Together, we will assess the risks and define the next steps.
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