Today’s applications are dynamic, using virtualization, containerization, microservices, and workload mobility technologies, with communication patterns between application components constantly changing. The Cisco Secure Workload platform is designed to fully address these challenges, using comprehensive traffic telemetry data collected from the workloads. The platform performs advanced analytics using an algorithmic approach and provides comprehensive workload protection for a multi-cloud data center. This algorithmic approach includes unsupervised machine-learning techniques and behavioral analysis. Based on this, Cisco Secure Workload can automatically generate a micro-segmentation policy based on application behavior and including any existing security policy mandated by business requirements. On top of that, it can consistently enforce this segmentation policy across a multi-cloud infrastructure to minimize lateral movement.
In the webinar, you will learn all about this and also learn how to put it into practice using the open APIs. In the end, you will be referenced to a full training that learns you how to do it yourself!