Leaked internal data confirms Suno built its AI music generator on scraped audio and lyrics from major online platforms — without saying so publicly.
Data obtained through a hacking incident and reported by 404 Media shows Suno pulled millions of songs and lyrics from YouTube Music, Deezer, and Genius to train its models. Suno had previously declined to disclose what was in its training datasets or how it acquired them. The company is already facing lawsuits alleging it used copyrighted material without permission, including a case from the Recording Industry Association of America in which Suno reportedly admitted to using copyrighted works.
What makes this leak significant is that it pierces the deliberate opacity most AI music companies maintain around training data. Labels and publishers have long suspected scraping was happening at scale — now there is direct evidence of which platforms and how many songs. That shifts the legal calculus in ongoing litigation from speculation to documentation.
Suno is not alone in facing these questions — rival AI music tools have drawn similar scrutiny — but being first to have internal data exposed puts it in the worst possible position heading into court.