FireTail AI Discovery is a tool that scans and identifies AI usage across an organization's code repositories, cloud environments, APIs, and employee browsers. It is designed to give information security teams visibility into both approved and unapproved ("shadow") AI tools and integrations. Key capabilities include: - Code repository scanning to detect ML libraries, SDKs, and AI integrations embedded in codebases (e.g., TensorFlow, PyTorch, LangChain) - Cloud environment scanning across AWS, Azure, and GCP to identify AI service usage - AI service provider monitoring, including OpenAI, Anthropic, and Hugging Face - A browser plugin that can be deployed in managed environments to capture and log employee browser-based AI activity, including requests and responses - Detection of sensitive data (PII, PHI, credentials) being transmitted to AI models - Identification of AI models lacking proper access controls or exposed to the public internet - A centralized AI inventory that provides a continuously updated record of all AI usage across the organization The tool distinguishes between AI discovery (identifying where AI is used) and AI logging (recording detailed activity), and combines both capabilities. It is agentless and designed for quick deployment. A 14-day free trial is available.