THE article discusses the challenges associated with AI in penetration testing (pentesting), emphasizing the issue of 'validation debt'—the backlog of unverified findings that arises when the number of vulnerabilities discovered exceeds the team's capacity to validate them. Most security teams struggle to manage the high volume of AI-generated findings, with surveys indicating only a small fraction have efficient workflows to handle more than 500 findings.
The article posits that while AI tools can significantly increase the number of vulnerabilities identified, this creates an overwhelming workload for analysts who must verify the findings. It stresses the importance of having robust testing processes and the need for security leaders to assess their team's capacity to handle the output of AI tools before investing in them.
Overall, the article highlights that measuring the genuine efficiency gained through AI should focus on the outcomes of findings, not just the volume of discoveries.