Microservices Anomaly Detection

Protect Your Clusters with Machine Learning,
behavioral-based Anomaly Detection

To secure your enterprise’s cloud-based assets, you need a centralized monitoring and management platform that quickly and accurately delivers both panoramic and granular visibility.

Alcide Machine Learning, behavioral-based microservices anomaly detection, detects anomalies, network, and host-based attacks, and internal threats.

Alcide automates and unifies cyber protection across private as well as public cloud environments and any arrangement of data center operations. With protection against the malicious internal activity and data exfiltration, security teams can restrict unapproved access, enforce domain segregation and prevent cyber threats. Alcide automatically flags and quarantines suspicious workloads that may serve as the prerequisite to an attack or have been breached, such as DNS Tunneling, ARP Spoofing, Behavior Anomaly, Anomalous Network Activity and Port scanning A visualized cloud activity matrix makes it easy to drill down into the suspicious workload component, quickly make sense of the attempt, and respond accordingly.