Suno will begin adding audio watermarks and fingerprinting technology to songs created on its platform, giving other services a way to identify music generated with the company’s artificial intelligence tools.
Co-founder and CEO Mikey Shulman said the new transparency tools will include a labeling system designed to show when a song originated from Suno after it appears on another platform. The company has not explained exactly how the system will work, but said the technology is intended to make AI-related fraud easier to detect.
Suno will also introduce download limits aimed at preventing large-scale distribution of AI-generated songs on streaming platforms. The company did not specify how restrictive the limits will be or when they will take effect.
The measures arrive as major music companies push for stronger controls on AI-generated tracks. Sony Music, Universal Music Group and Warner Music Group are among the labels that have called for low-quality AI songs flooding charts to be excluded from rankings.
Suno has faced several copyright disputes over claims that AI music generators trained their models on protected recordings without permission. Warner Music reached an agreement with Suno in November 2025 allowing the company to license music and likenesses from WMG artists, ending an existing legal dispute between the companies.
A German court ruled this week in favor of licensing agency Gema in a copyright case against Suno. Reuters reported that the Munich court found Suno had trained its systems on protected music without having the necessary rights. Suno disagreed with the ruling and may appeal.
Suno says it does not include artist names in its training metadata and prevents users from requesting specific artists or copyrighted songs in prompts. The company is also working with content-recognition firms Audible Magic and Musixmatch, along with other third parties, to screen uploaded audio and lyrics for potential misuse.
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