Local-First Tool Exposes SaaS AI Features Secretly Mailing Your Data to 17 Random LLMs

A new open-source tool has been developed to help small to medium-sized enterprises (SMEs) and startups understand the data flow risks associated with using artificial intelligence (AI) and large language models (LLMs) in their software-as-a-service (SaaS) tools. The tool, available on GitHub, aims to provide visibility into how data flows across systems when AI features are enabled, addressing a common issue where teams lack a clear understanding of data handling. By accepting simple JSON inputs and applying deterministic risk rules, the tool generates a structured technical report and a plain-English executive summary, highlighting potential risks such as personal data sent to third-party LLM providers and cross-border data flows. The project's creator chose to keep the tool open-source to build trust and encourage responsible AI practices, and is currently gathering feedback from early users to refine the tool's logic and scope.