Shadow AI: The Invisible Risk in Your Organization
AI agents, personal accounts, IDE extensions… AI is already everywhere. The real question is not “should we allow it?” but “how do we govern it?”
Why Shadow AI Is a Strategic Risk
Shadow AI emerges when team velocity outpaces IT governance.
Data Leakage
Proprietary code, customer data, and internal documents sent to external models without control.
Lack of Visibility
No traceability of prompts, models used, or AI-driven decisions.
Uncontrolled Costs
Multiple accounts and no AI FinOps oversight.
AI Act Exposure
Potential non-compliance with governance and auditability requirements.
The Solution: Operate AI as a Platform
Argy transforms AI into governed infrastructure integrated into your DevSecOps architecture.
1. Single Entry Point
The LLM Gatewaycentralizes all AI calls: quotas, filters, audit logs, multi-provider routing.
2. Governed Agents
Argy Code is available for work with a governed agent. Meanwhile, Argy Workbench (coming soon) will offer a governed workspace without Shadow AI.
3. Industrialization
Module Studioenables versioned, governed AI golden paths.
4. Compliance by Design
Built-in governance, full traceability, and AI Act alignment.