Suno Faces Copyright Concerns As AI Covers Bypass Safeguards

AI music generator Suno is under scrutiny after reports revealed that its copyright protections can be easily bypassed, allowing users to create near-identical versions of copyrighted songs.

According to a report by The Verge, simple tweaks such as altering speed or adding noise can trick Suno’s detection systems, enabling the generation of AI-powered “covers” that closely resemble original tracks. These outputs, while slightly lacking in nuance, retain recognisable melodies and structures,raising concerns around unauthorised use and monetisation.

The issue becomes more critical as such AI-generated tracks can be exported and uploaded to streaming platforms like Spotify, where they risk being mistaken for legitimate releases or siphoning streams from original artists. Independent musicians are particularly vulnerable, as their work is less likely to be detected by existing safeguards.

The report also highlights cases where AI-generated music has appeared on official artist pages or triggered incorrect copyright claims, exposing gaps not just in Suno’s systems but across the wider digital music ecosystem. While platforms are investing in detection tools, enforcement remains inconsistent and reactive.

Suno, which offers advanced editing features through its paid subscription tiers, has yet to publicly respond to these concerns. The controversy adds to ongoing legal and industry tensions, with record labels already accusing AI music platforms of copyright infringement and market dilution.

The situation underscores a broader challenge: as generative AI tools become more sophisticated, existing copyright frameworks and platform safeguards are struggling to keep pace.