AI – Shadow AI

Mastering “shadow AI” & centralizing your AI systems

Map all AI systems used across your organization to regain control.

How can you transition from unmanaged AI to governed AI?

The widespread adoption of AI by employees creates a significant blind spot.
Without visibility, organizations face three critical risks:

Shadow AI: 
Dozens of tools and models are used daily by business units without any oversight, making it impossible to implement a cohesive strategy.

Data leaks and security breaches: 
Uncontrolled use of public AI services (such as ChatGPT) exposes sensitive data, creating major security vulnerabilities.

Redundancy: 
Proliferation of similar tools leads to hidden costs and inefficiencies.

Our solution:
A centralized registry

We provide a structured, secure inventory.

Key features:

  • Unified AI asset inventory: 
    Centralize all your AI assets (internal, SaaS, open source) in a single registry—the “single source of truth” for your algorithmic portfolio.
  • Assessment: 
    Quickly evaluate the criticality of each AI system and trigger in-depth analysis on specific aspects (ethics, compliance, security, etc.).
  • Risk Management: 
    Precise identification and classification of risks per AI system, in compliance with regulations and internal policies.

Your benefits

Controlled AI transformation: 
Move from reactive to proactive AI management with full visibility into “who uses what” across the organization.

Enhanced security: 
Close security gaps by identifying and blocking risky or non-compliant usage.

Simplified compliance: 
An up-to-date registry is the first legal requirement. Generate compliance reports effortlessly.

Automate regulatory compliance:

Continuously align your projects with the EU AI Act, global standards,
and your internal security policies.

Optimize economic and environmental impact:

Jointly manage the ROI and carbon footprint of your AI systems for
high-performance, sustainable AI.