Suno, a leading provider of AI-generated music, is introducing watermarks to all audio outputs from its models to help platforms identify AI content. The company aims to align with emerging industry standards for labeling AI-generated content, according to CEO Mikey Shulman. Suno will embed an invisible code in the waveform of every track it generates, allowing partners to detect and manage AI content. The watermarking technology is described as durable and resistant to tampering without affecting audio quality. However, if the watermark is broken, tracks could lose their AI labels, and the issue of unregulated AI music remains unresolved. Suno is also facing legal challenges, including lawsuits from Universal and Sony for copyright infringement in the U.S., and a German court ruling that it violated music licensing laws. These legal issues, along with a data breach in late 2025, have prompted Suno to seek ways to improve its reputation and position itself as a tool for musicians rather than a source of mass AI content. Shulman emphasized that Suno supports the artistic process and aims to prevent misuse through policies that restrict the use of copyrighted content and limit downloads in a settlement with Warner Music Group. The company is also updating its usage policies to strengthen prohibitions against misuse. The effectiveness of these changes in resolving Suno's legal and reputational challenges remains uncertain.
Suno's move to watermark AI-generated music is part of a broader effort to address the proliferation of AI content across platforms. While some companies, like Google, have already implemented similar solutions with SynthID, Suno has not disclosed whether it will use an in-house solution or a third-party technology. The company's approach is intended to help platforms combat fraud and misuse by enabling the detection of AI-generated tracks. However, the effectiveness of these measures is limited by the fact that other platforms may not have similar systems in place, and open models could allow individuals to generate unlabeled AI music. Suno's legal troubles, including lawsuits over copyright infringement and a data breach, have highlighted the need for greater transparency and accountability in AI content generation. The company's efforts to position itself as a tool for musicians rather than a source of mass AI content reflect a strategic shift aimed at improving its standing in the industry.
Suno has already implemented some measures to prevent misuse, such as prohibiting users from including specific artists or songs in their prompts and partnering with companies like Musixmatch to block copyrighted content. The company also agreed to limit downloads in a settlement with Warner Music Group, though the specifics are still being finalized. These changes, along with the introduction of watermarks, are intended to reduce the risk of large-scale abuse of its platform. However, whether these steps will be sufficient to address Suno's legal and reputational issues remains to be seen. The company's ability to navigate these challenges will depend on its ability to balance innovation with responsibility in the rapidly evolving AI music landscape.
Source: arstechnica
