Fair Use & Content Policy

Fair Use

InfoSecRadar provides brief AI-generated summaries of cybersecurity news articles. These summaries constitute fair use: they are short analytical excerpts with original commentary (IFF classification, severity assessment, and defender context) that serve a transformative purpose.

Attribution

Every story on InfoSecRadar links to and credits the original source. The primary call-to-action on each story page is a prominent "Read Full Story" link directing readers to the original article. We encourage all visitors to read the original coverage.

Content Removal

If you are a content owner and wish to have your material removed from InfoSecRadar, please open an issue on our GitHub repository. We will remove the content promptly.