Free IDE extension for risk-free vibe coding — keep secrets out of AI.
Detect
GET /api/shadow/scanDetect and monitor unauthorized AI tool usage across your organization. Identify shadow IT — employees using unapproved AI services, custom GPTs, or external LLM APIs without IT approval.
Complete these steps in order. The dashboard link opens the exact product workspace for this service.
Sign in, select the project you want to protect, then open Shadow AI.
Monitor network traffic for API calls to known AI service endpoints and LLM providers.
Use GET /api/shadow/scan from server-side code. Keep API keys out of browsers and client bundles.
Run one safe case and one expected-risk case. Confirm the result in Shadow AI, then review Guard Logs before enabling the control for production traffic.
Shadow AI poses significant data leakage and compliance risks. Employees using unapproved AI tools may inadvertently expose sensitive data to third-party models. Shadow AI detection helps you discover and manage these risks.
A step-by-step breakdown of how Shadow AI protects your AI.
Monitor network traffic for API calls to known AI service endpoints and LLM providers.
Identify AI tool usage patterns through behavioral analysis and request fingerprinting.
Each detected AI tool is risk-scored based on data handling practices, security certifications, and compliance posture.
Automated workflows to notify users, IT admins, and enforce policies on unauthorized tools.
Identify calls to 200+ known AI and LLM service endpoints
Dashboard showing shadow AI usage by team, tool, and risk level
Block or allow specific AI tools with granular policies
Export shadow AI findings for compliance and audit purposes
This service is implemented at the application route below. Use the tested SDK and framework guides for copy-paste integration examples.
GET /api/shadow/scan. API keys must stay server-side. See the REST API guide and related documentation before integrating.