What does Behavioral Analysis in Cisco AI security capabilities help achieve?

Behavioral Analysis in Cisco AI security capabilities focuses on identifying normal behavior patterns within the network and among users. This identification is crucial because it establishes a baseline of expected behavior against which anomalies can be detected. By analyzing interactions, transactions, and activities in real-time, the system can recognize deviations from this established baseline, which might indicate security threats such as unauthorized access or data exfiltration.

This capability enhances security by allowing for proactive responses to potential threats based on changes in behavior rather than just known attack patterns. As a result, organizations can better defend against sophisticated and evolving threats that may not be captured by traditional security measures.

The other options do not align with the primary function of Behavioral Analysis. Eliminating security monitoring would compromise the ability to detect and respond to threats. Relying solely on user input does not leverage the advanced analytical capabilities of AI for threat detection. Permanently setting security policies does not accommodate the dynamic nature of networks and threats, which require ongoing adjustments based on observed behaviors.