Confluera Cloud Workload Threat Detection is a cloud workload security solution that combines behavioral analytics and ML-powered anomaly detection to identify suspicious host and network behaviors in real time. The product uses a Continuous Attack Graph approach to stitch individual detections into real-time threat storyboards, providing infrastructure-wide context for security teams. Rather than triaging individual alerts, analysts can view the full history of activity before and after any detection, across multiple workloads and time periods. Key capabilities include: - Real-time detection of cloud-native attacks exploiting misconfigurations, pipeline vulnerabilities, zero-days, and API-based vectors - Noise reduction through risk-prioritized storyboards, targeting a 10x reduction in alert volume - Host Intrusion Detection System (HIDS) with continuous OS and network behavior monitoring - Privileged activity monitoring and integrity monitoring for compliance mandates (PCI-DSS, SOC-2, HIPAA) - Automated incident response recommendations and surgical response actions The platform supports a broad range of workload environments including Windows and Linux, bare-metal, VMs, and containers, across datacenter, private cloud, and public cloud deployments. A 30-day trial is available.