AI Can Find Bugs, But Human Knowledge Still Proves Them

AI tools are increasingly being used in security testing, offering benefits like rapid code analysis and payload generation. However, the key challenge remains that AI-generated findings often lack sufficient validation and can be misleading. Simply producing a report isn't enough; a human must rigorously test and prove that the identified issue is actually exploitable and poses a real risk in a deployed environment. Overreliance on AI can lead to a flood of low-quality reports and a decline in critical thinking skills among security professionals. Effective validation requires a structured approach, focusing on specific, reproducible issues with demonstrable impact, rather than relying on vague or theoretical assessments.