Suno to implement watermarking and other tools amid legal challenges

Key facts

• Suno will implement audio watermarking and fingerprinting for AI-generated songs.
• The company is updating community guidelines to prohibit deceptive audio and unauthorized voice/likeness use.
• Suno has partnered with Musixmatch for copyright detection.
• New download policies will restrict mass distribution on streaming platforms.
• Suno faces lawsuits from Universal Music Group and Sony Music Group for copyright infringement.
• A data breach in November 2025 revealed Suno scraped content from YouTube, Deezer, and Genius for model training.

Suno, an AI music generation service, is introducing new measures including audio watermarking, fingerprinting, and updated community guidelines to address concerns about misuse and copyright infringement. These changes come as the company faces multiple lawsuits from major music labels like Universal Music Group and Sony Music Group, as well as a ruling from a German court that found Suno to be in violation of copyright rules.

Co-founder and CEO Mikey Shulman stated that the platform aims to foster original creation while making music creation accessible through its AI tools. The new watermarking and fingerprinting technologies are designed to be resistant to tampering and prevent the unauthorized revenue generation from AI-generated songs on other streaming platforms. Suno has also partnered with lyrics provider Musixmatch to utilize its Sentinel system for copyright detection.

In addition to technical measures, Suno is revising its community guidelines to explicitly prohibit "deceptive audio presented as real" and the unauthorized use of a person's voice or likeness. The company also plans to implement a new download policy to restrict mass distribution on streaming services, though specific details were not provided.

These developments follow a significant $400 million Series D funding round in June. Furthermore, a data breach in November 2025 reportedly exposed that Suno had scraped content from platforms like YouTube, Deezer, and Genius to train its models, affecting an estimated 55 million users and leading to a class-action lawsuit alleging inadequate security measures.