Vercel's benchmark underscores a pragmatic, if unsettling, reality: AI-powered offensive security is advancing, so defensive tools must keep pace. The report usefully frames the trade-off between cost and capability, highlighting how cheaper models may enable more frequent scanning. However, the analysis is inherently limited by the benchmark's secret dataset, which prevents independent validation and makes it difficult to assess whether the tested skills generalize to real-world codebases.
In our view, the more significant takeaway is the implicit admission that even top models find less than a third of known vulnerabilities, suggesting AI-assisted auditing is a supplement to, not a replacement for, robust security practices.