On August 6, 2026, Suno, the AI music generation platform valued at $5.4 billion following its June 2026 Series D, announced a set of new measures aimed at addressing copyright concerns. The company revealed plans to implement audio watermarking and fingerprinting technology, update its community guidelines, and introduce a new download policy to prevent the mass distribution of AI-generated songs on streaming services. This move comes as Suno faces multiple copyright lawsuits from major labels and artist bodies, including a recent ruling in Munich where the company was found liable for infringing German song copyrights.
CEO Mikey Shulman outlined four operating principles in a blog post titled “How We’re Building the Future of Music Responsibly”: that great music is made by people, technology unlocks new creative possibilities, AI should encourage originality rather than imitation, and that more people making music should strengthen the wider ecosystem. The concrete changes include the rollout of watermarking and fingerprinting to identify Suno-generated tracks on streaming platforms, updated community guidelines with tiered enforcement (warnings, suspensions, bans, and referrals to authorities), and a download policy designed to prevent mass distribution of AI-generated songs on streaming services. The company also announced a partnership with lyrics provider Musixmatch to integrate its Sentinel copyright detection system.
However, many questions remain unanswered. Suno has not confirmed which specific watermarking technology it will use, whether it will adopt an existing system like Google’s SynthID or build its own, and has not provided a specific rollout timeline beyond “coming weeks.” The company’s approach to transparency is also ambiguous: Shulman explained that the new tools give artists and platforms the choice to disclose AI origins but do not mandate it. Critics from the music industry note that these measures fail to address the core question of whether Suno’s training datasets included copyrighted material without authorization, which is the central allegation in the ongoing RIAA lawsuit.
The situation has been further complicated by a hack of Suno’s source code in July, which reportedly revealed that the AI was trained by scraping music and lyrics from platforms such as YouTube Music and Genius. The music industry, including major labels like Sony and Universal, has been pursuing legal action against Suno for mass copyright infringement since 2024. Many experts believe that while Suno’s new transparency tools are a step in the right direction for industry cooperation, they are insufficient to satisfy the music industry’s demand for answers regarding training data.