AI floods security teams with findings. The advantage is in what happens next (www.techradar.com)

In the past year, security teams utilizing AI have significantly reduced the time to fix critical vulnerabilities by approximately 50%. However, the number of unresolved vulnerabilities has surged nearly 29-fold, highlighting a critical imbalance. AI-driven tools can efficiently identify software vulnerabilities faster than traditional methods, enabling businesses to keep pace with escalating cyber threats. Yet, the overwhelming influx of findings has outpaced many organizations' abilities to validate and prioritize these vulnerabilities effectively, resulting in a growing backlog. This gap underscores the importance of Continuous Threat Exposure Management (CTEM), which emphasizes the ongoing assessment and contextual evaluation of threats rather than merely identifying them. For organizations to enhance security, they must bridge the discovery and remediation processes by establishing clear evidence standards and leveraging human expertise to assess business impacts of vulnerabilities. As AI continues to evolve, the real challenge lies in optimizing response strategies and ensuring that valid findings are prioritized effectively to reduce actual organizational risk, rather than just increasing the volume of detected flaws.