5 applications for machine learning in threat detection

In the cybersecurity field, machine learning is pivotal for enhancing threat detection in Security Operations Centers (SOCs) by efficiently analyzing real-time data, minimizing false positives, and reinforcing capabilities.

In this vein, AT&T Cybersecurity's USM Anywhere employs machine learning to uncover threats across devices and networks, focusing on credential compromise, lateral movement, suspicious execution, and data exfiltration.

Dive into this webinar amplifier resource for an in-depth look at the challenges of optimizing your SOC, the benefits of using machine learning in threat detection, and a breakdown of 5 easy-to-understand use cases.

Vendor:: AT&T
Posted:: Feb 23, 2024
Published:: Feb 23, 2024
Format:: HTML
Type:: Presentation Transcript

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