Organizations have more rich data available to them than ever before, but data is only as good as the insights it provides and the actions you can take on it. Gathering this data can be unwieldy and making sense of it can be overwhelming. Citrix Analytics applies machine learning to data that spans network traffic, users, files, and endpoints to identify and take action on malicious user behavior and app performance anomalies.
Modern IT architecture requires new ways to understand and react to the robust nature of security threats. Instead of taking a reactive approach to security, Citrix Analytics helps you take a proactive approach by integrating with the entire Citrix portfolio to uniquely protect each user, the workspace, and the network. By using security policies, machine learning and artificial intelligence.
In order to focus on people, you need a workspace that is intelligent enough to offer up the right application performance to each user, no matter where they are or what device they’re using. Intelligent analytics backed by artificial intelligence and machine learning can detect anomalies in app performance and alert IT. Instead of waiting for an unhappy user to report poor performance, you can detect the problem early and start addressing it right away.
Optimizing underlying infrastructure in support of modern hybrid cloud deployments requires sophisticated insights. In support of capacity planning, understanding true usage of resources can help optimize resources and drive costs down. Citrix Analytics applies advanced algorithms and machine learning to support IT teams get the most from their budgets.
Citrix delivers intelligent analytics and user behavior insights for the enhanced security, management, orchestration, and automation of workspaces and app delivery. With Citrix Analytics, you get the network and IT visibility that allows you to control and optimize app performance, preempt threats, and secure your end-user files, apps, and devices. We give you the ability to detect and react to threats in real time based on changes in user behavior, device trust, and network conditions.
|Workspace-centric user behavior analytics (UBA) using advanced machine learning|
|Autonomous, closed-loop actions taken across the product portfolio based on conditions and thresholds
|Holistic approach for simple onboarding of data sources across the entire product portfolio