Confluera CxDR Platform's Multi-Cloud Visibility & Observability module provides real-time visibility into workloads and their attack surfaces across public cloud environments and on-premises infrastructure. The platform uses behavioral analytics and ML-powered anomaly detection to identify suspicious host and network behaviors. Its core differentiator is the patented Continuous Attack Graph technology, which stitches together activity across workloads into automated storyboards, tracking every actor and their associated actions across the infrastructure. Key capabilities include: - Workload discovery and monitoring across AWS, Azure, and GCP, as well as on-premises datacenters - Native support for containers and Kubernetes environments, covering both traditional and serverless workloads - Agentless monitoring for Windows workloads via integration with Microsoft Windows and Azure - Cross-plane tracking covering the workload plane, data plane, control plane, and pre-runtime plane - Automated storyboarding that maps attacker movement and lateral activity across OS and cloud control planes - Customizable analysis thresholds for anomalous or suspicious activity patterns The platform is designed to reduce noise and lower false positives by contextualizing raw log data into actor-centric narratives, enabling threat hunting and forensic investigation with actionable insights.