Suno revealed it will embed invisible audio watermarks in all AI-generated songs to identify them and assist partners in combating fraud and misuse. The company said the watermarks will be durable and clear of audio quality impact, making them resistant to tampering. "The watermarking tech Suno intends to use is durable and resistant to tampering without affecting quality," CEO Mikey Shulman said, highlighting the importance of transparency and respect for rights holders [1, 2, 3].
Along with watermarking, Suno will impose download limits on its AI tracks to reduce mass distribution on streaming platforms, aiming to prevent spam and unauthorized copying [2, 3]. Shulman emphasized that the decision to disclose the use of AI tools rests with artists and platforms themselves. "It’s ultimately up to artists and platforms to decide whether they want to disclose the use of AI tools," he said [2].
The company's efforts follow a November 2025 settlement with Warner Music Group, in which Suno licensed WMG artists' music and likenesses after a legal dispute. Suno said it does not use artist names in its training data metadata and prohibits prompts containing specific artists or copyrighted songs to protect intellectual property [2, 3].
In August 2026, a German court ruled that Suno infringed copyright by training its AI model on protected music without proper authorization, underscoring ongoing challenges in AI music regulation [3]. Suno drew parallels between its watermarking approach and Google’s SynthID technology, aiming to set standards for AI music identification [1, 3].
Suno’s next step focuses on rolling out watermarking and download limits to its platforms, marking a concrete step to curb fraud and clarify AI-generated content origins [1, 2, 3].
