AI Agent Reduces Cloud Security False Positives by Analyzing Environmental Context

Researchers Leon Goldberg and Gal Engelberg from Sola Security built an AI agent that re-evaluates cloud security findings by checking them against the actual environment context. The AI agent was tested on 9,967 HIGH-severity findings from two commercial cloud security platforms across eight production environments. The research demonstrates that most high-severity cloud security findings are downgraded when the AI agent examines them within their environmental context, suggesting that traditional cloud security platforms may be generating false positives by treating every failed rule as a finding without considering the specific deployment environment.