Suno's copyright detection system can be circumvented using basic audio editing techniques, according to a new investigation by The Verge, raising fresh concerns about the AI music platform's ability to prevent copyright infringement even as it settles lawsuits with major record labels. The findings suggest that guardrails meant to block copyrighted material from being used as training data or converted into new songs are far less robust than the company has suggested .

How Are Users Bypassing Suno's Copyright Filters?

Suno Studio includes a feature that allows users to upload existing tracks for editing or creating covers, with copyright-detection technology supposedly preventing the use of copyrighted material. However, The Verge's investigation found multiple ways to circumvent these protections .

• Speed Manipulation: Slowing down a copyrighted track to half-speed or speeding it up to twice normal speed often bypasses the copyright filter, allowing the song to be used as a seed for generating new AI music.
• White Noise Addition: Adding bursts of white noise to the beginning and end of a copyrighted track appears to guarantee success in evading detection, with the noise easily removable within Suno Studio itself.
• Lyric Pasting Workarounds: The guardrails against pasting copyrighted lyrics can also be avoided, with The Verge demonstrating successful covers of songs like Beyoncé's "Freedom" and Black Sabbath's "Paranoid" as proof of concept.

Once modified, the copyrighted material becomes the foundation for new AI-generated music that can then be uploaded to streaming services, potentially allowing infringing content to reach millions of listeners .

What Does This Mean for Suno's Legal Battles?

The timing of The Verge's findings is significant. Suno has already settled its lawsuit with Warner Music Group, but it remains locked in active litigation with Sony Music and Universal Music Group . The lawyers representing these major labels will likely use this investigation as evidence in their ongoing cases, potentially strengthening arguments that Suno's technology enables copyright infringement at scale.

The investigation may well become part of legal filings in the pending lawsuits sooner rather than later, according to reporting on the matter. This could complicate Suno's path toward licensing agreements with the remaining major labels, which have been hesitant to strike deals with the company .

The weakness in Suno's copyright protections underscores a broader challenge facing AI music generation platforms: building technical safeguards that are both effective and difficult to circumvent. Simple audio manipulation techniques require minimal technical knowledge, making them accessible to a wide range of users who might not otherwise attempt copyright infringement.

For Suno, these findings represent a credibility problem at a critical moment. The company has positioned itself as a responsible AI music creator, but the ease with which basic tools can defeat its copyright filters suggests that the company's technical approach to preventing infringement may be fundamentally flawed. As the company continues negotiating with Sony and Universal, demonstrating meaningful improvements to these safeguards could become essential to reaching settlement agreements and establishing the licensing partnerships needed for long-term viability.