Which AI-driven tool is used for real-time security monitoring?

Modern Security Information and Event Management (SIEM) platforms are increasingly AI-driven to provide real-time security monitoring. Next-Gen SIEMs, such as Palo Alto Networks Cortex XSIAM, utilize machine learning and artificial intelligence to ingest and analyze vast streams of data from diverse sources. This enables the automated detection of complex threats, behavioral anomalies, and security incidents in real-time, moving beyond the capabilities of traditional, rule-based SIEMs.

B. Payroll Management System: This is a financial/HR application for processing employee compensation and is not a security monitoring tool.
C. Content Delivery Network (CDN): A CDN is a distributed network of servers used to improve web content delivery speed, not for real-time security monitoring.
D. IT Helpdesk Ticketing System: This system manages and tracks user support requests and is not designed for automated, real-time security event analysis.

1. Palo Alto Networks. (n.d.). What is XSIAM? The Autonomous Security Operations Platform. Cortex Product Documentation. Retrieved from the official Palo Alto Networks website. This document describes XSIAM as an "AI-driven platform" that "collects and integrates all security data."

2. Palo Alto Networks. (2023). Cortex XSIAM At-A-Glance. Datasheet. This document highlights the use of "AI and deep learning models" for "real-time detection."