In which way can 'AI and Machine Learning' improve Cisco ISE functionality?

The correct choice highlights how AI and Machine Learning (ML) can significantly enhance the functionality of Cisco Identity Services Engine (ISE) by identifying patterns in network traffic. This capability allows Cisco ISE to analyze large volumes of data and uncover trends or anomalies that may indicate security threats or inefficiencies within the network. By employing ML algorithms, Cisco ISE can continuously learn from network behavior, improving its ability to make informed decisions about access policies and security measures.

This advanced analytical capability is essential in a dynamic network environment where traditional methods might struggle to keep up with rapidly changing data patterns. Additionally, the identification of trends can aid in proactive network management, allowing organizations to respond to potential issues before they escalate into serious problems. Thus, the integration of AI and ML into Cisco ISE not only enhances its operational effectiveness but also aids in improving the overall security posture of the network.

Other options do not relate directly to the core functionalities of Cisco ISE. Reducing the number of devices, eliminating user training, and enhancing physical security are not direct improvements linked to the roles AI and ML play in network management and security analytics.