AI is used in almost every organization today. Think of tools like ChatGPT, Claude, Gemini, and many others. Teams, departments, and individuals rely on AI to work faster and more efficiently. At the same time, AI adoption often moves faster than IT, security, and policy can keep up with. This leads to invisible AI usage, without clear agreements on data, cost control, or risk management. That is where the challenge begins.
We support organizations that actively use AI or plan to scale it responsibly. For CEOs and CIOs who want to accelerate innovation. For CFOs who need predictable and controlled costs. And for CISOs who must ensure security and governance without slowing down the business.
What this gives you immediately:
| Full visibility into AI usage across your organization |
| No data leakage to public AI models |
| Cost control without rigid licensing models |
| Productive users without disruptive blocking |
Shadow AI does not exist because employees intentionally break the rules. It exists because existing tooling falls short. AI is widely used to work smarter and faster, often outside the visibility of IT, security, and policy frameworks. Traditional security solutions can show that traffic exists, but not what actually happens within AI tools. Blocking may seem like the obvious response, but in practice it does not work. Users will always find alternatives.
At the same time, AI licensing models force organizations into an all-or-nothing choice. Either allow everything or block everything. In both scenarios, sensitive information (such as financial data, personal data, or intellectual property) flows to external AI models without visibility or control.
Shadow AI is therefore not a user problem. It is an infrastructure problem. And it cannot be solved with isolated measures, but only through an end-to-end approach.
Gain control over how AI is used within your organization and actively steer that usage without blocking users or reducing productivity. You operate from a single secure AI environment with access to multiple AI models, while your data is not used to train public models. At the same time, you move away from rigid AI licenses and pay only for actual usage.
This allows you to combine security, control, and cost management without slowing innovation.
This is the difference:
| Insight into AI usage and context, not just traffic |
| Steering instead of blocking, while workflows remain intact |
| Secure multi-AI access without data leaving your organization |
| Predictable costs through usage-based pricing |
Shadow AI will continue to grow on its own. Invisible and uncontrolled.
| AI models are unknowingly trained with your data. |
| Sensitive business information leaves your organization. |
| AI-related costs increase without clear insight or return. |
| Employees bypass policy as soon as restrictions are enforced. |
| Compliance and governance become increasingly difficult to demonstrate. |
| You pay for AI licenses that are barely used. |
No long-running projects. No complex implementations. You gain insight quickly, without impacting users.
Phase 1: Insight
The solution runs for four weeks in transparent mode. You gain full visibility into how AI is used across your organization, without blocking or disrupting daily workflows. Optionally, you can define which data types are considered sensitive, allowing you to see if and where this data is shared with AI tools.
|
Phase 2: Steering |
Phase 3: Decide |
