For Kubernetes platform engineers or DevSecOps leads, the experience is all too familiar: You open your security dashboard and are greeted by a list of 10,000 deployments, all flagged with critical vulnerabilities, configuration issues and suspicious activities. The sheer volume of alerts creates a paradox: When everything is a priority, nothing is.
Traditional risk scoring solutions evaluate the risk indicators detected by scanners in isolation, relying on predefined heuristics and static vulnerability scores. These solutions prioritize…
