Using AI Agents to Separate Real Risk From Vulnerability Noise

This piece discusses Zest Security’s AI Sweeper Agents, which aim to cut vulnerability backlogs by analyzing exploitability in the context of each environment—considering factors like network placement, permissions, and configurations—to filter out non-actionable findings. CEO Snir Ben Shimol argues the approach mirrors senior engineer judgment at scale, reducing manual triage and focusing remediation on real risk. The discussion also covers auditor acceptance, emphasizing evidence-based reasoning to justify why certain findings are de-prioritized.