Code Privacy #

EndpointElf prioritizes code privacy by offering flexibility in how scanning is conducted, particularly for organizations with strict security standards. At its core, EndpointElf leverages Abstract Syntax Tree (AST) parsing to extract valuable information from source code, such as HTTP routes and endpoint details, without the need to share code externally.

By analyzing the structure of the code directly, EndpointElf avoids transmitting code to third-party servers, preserving privacy while still delivering a complete OpenAPI documentation output that reflects the live routes in your application.

For users interested in AI-powered code parsing, EndpointElf integrates options that balance convenience with privacy. When using AI models for more advanced analyses, users can either self-host models to ensure data remains entirely within their infrastructure or opt for reputable third-party providers, such as OpenAI or Claude. This approach gives teams full control over where and how their code is shared, making EndpointElf adaptable to varying privacy requirements.

Whether companies choose pure AST parsing or AI-enhanced parsing, EndpointElf offers a pathway that aligns with their security needs, making it a robust solution for generating accurate documentation without sacrificing data integrity or privacy.

Reach out to support@endpointelf.com if you have more questions.