Tigera is excited to announce several new capabilities with Tigera Secure Enterprise Edition 2.3, extending the ability to uncover sophisticated Kubernetes attacks. Tigera Anomaly Detection capabilities provide insight into unusual behaviors that compromise the security and performance of Kubernetes environments. The solution offers the best of breed anomaly detection by offering both machine learning and rule-based capabilities to handle large and complex Kubernetes network datasets. This release empowers businesses to detect and respond to reconnaissance scans, protocol deviation activities, and volumetric deviations activities. Detailed forensics for every detection enable security teams to resolve incidents faster than before. This major product release demonstrates Tigera’s long-term vision to deliver a comprehensive Kubernetes network security solution.
Figure 1 – Kubernetes pod anomaly behavior heatmap provided within Tigera Secure Enterprise Edition 2.3.
In addition to the new Anomaly Detection features, Tigera Secure Enterprise Edition 2.3 also brings the following additional capabilities:
This new release builds upon the proven success of Tigera Secure Enterprise Edition. Large and complex Kubernetes network datasets make it difficult to detect malicious activities with traditional monitoring tools.
Anomaly Detection, powered by machine learning, deepens visibly into sophisticated Kubernetes attacks. It also addresses an essential compliance requirement by monitoring infrastructure and applications for unexpected behavior. Enterprise Calico Policy enables unified defense-in-depth web application security, even when infrastructure is compromised. Security Groups’ integration enhances Kubernetes’ security posture with fine-grain access control between resources in AWS security groups. The enhanced network flow and audit logs help address ever-growing compliance requirements. The new RBAC UI enhancements empower teams to work independently and also collaborate to resolve outage, security, and monitoring issues with Kubernetes.
Please schedule a demo for more information.
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