55.3M Users Exposed: Suno Leak Reveals Architectural Security Flaws in AI Startups

The most valuable information in this article is that Suno's data leak last year wasn't just a simple "hacker attack," but the inevitable result of a typical architectural design issue being ignored during rapid iteration. As a backend engineer who worked on recommendation systems at ByteDance and witnessed various data avalanches, what I see in this case isn't just news about "another company getting hacked," but a textbook failure of security trade-offs.