

Most AI security tools generate hundreds of findings — duplicates, false positives, and weakly supported claims. Instead of saving time, they create more triage work for developers and auditors. A tool that finds more issues but generates more noise does not improve security outcomes. The real measure is whether its output is something teams can actually trust and act on.