Organizations face risks from Shadow AI, including data leaks and compliance violations. This guide offers a framework for detecting and managing these risks, along with tools like an AI Tool Risk Heatmap and a checklist for assessing new AI vendors. By following this guidance, companies can harness AI transformation while safeguarding their critical assets.

The article discusses the importance of identifying and managing shadow AI within organizations, highlighting the risks it poses to security and compliance. It offers a free tool for conducting a shadow AI inventory, enabling businesses to gain visibility into unauthorized AI tools in use. The aim is to help companies mitigate potential vulnerabilities associated with these technologies.

Aurascape offers an AI-native security architecture designed to enhance visibility and control over AI tool usage within enterprises, addressing gaps left by traditional security measures. It enables real-time detection and classification of AI interactions, ensuring sensitive data protection and compliance while fostering innovation. The platform empowers organizations to manage shadow AI and safeguard data without hindering AI adoption.