AI Endpoint Analytics

New trends and network transitions in Enterprise network has increased the threat surface and the sophistication of attacks especially in wireless networks. The solutions presented here enables security for users, devices, applications and data while providing end-to-end visibility.

The new Cisco IOS® XE-based platform bridges the gap between old and new deployments for endpoint analytics and application assurance

North Carolina DHHS uses Cisco AI endpoint analytics to get the details they need on all their medical and building automation devices making the devices’ classification, management, and security simple.

AI endpoint analytics application in Cisco DNA Center identified and fully profiled over 58,000 healthcare-related devices at Adventist Health giving them unprecedented visibility and a sound basis for crafting security policies.

The AI endpoint analytics application running in Cisco DNA Center identifies and pieces together a complete profile for all endpoints connected to your network, so you can define access policies and better secure your network and your organization.

Granular network segmentation is the preferred defensive method to prevent the lateral spread of threats through networks. It is also ideal to enforce policies that restrict access to applications by trusted devices and individuals. Automation for identifying, grouping, and enforcing segmentation policies is key to securing networks of all sizes.

Group-based policy applications in Cisco DNA Center make securing your organization simple by effective network segmentation. AI endpoint analytics identifies and profiles endpoints, group-based policy analytics plots traffic graphically, and group-based access control defines, applies, and enforces policies.

Learn about 5 new intent-based networking innovations that Cisco has designed to help you achieve more advanced insights and automation, and deliver more value to your business and IT.