What mechanism does Traps use for endpoint protection?

Traps, now known as Cortex XDR by Palo Alto Networks, employs artificial intelligence analysis of behavior as its primary mechanism for endpoint protection. This approach leverages machine learning algorithms to analyze the behavior of applications and processes on endpoints. By establishing a baseline of normal behavior, Traps can detect anomalies that may indicate malicious activity or potential threats, allowing for a more proactive and dynamic response to security incidents.

This behavior-focused detection method goes beyond traditional techniques, such as signature-based detection, which relies on known malware signatures and can be less effective against zero-day threats or polymorphic malware that changes its signature to evade detection. The use of artificial intelligence enables the identification of sophisticated attacks that may not have recognizable signatures.

Other mechanisms mentioned, such as hardened firewall configuration and regular patch updates, serve important roles in an overall security strategy but do not embody the core protective capability offered by Traps. While they enhance security posture, they are not the primary means by which Traps identifies and mitigates threats on endpoints.