unlock the power of #ml and #ai in the security operations center

Source: https://cybersecurity.att.com/blogs/security-essentials/toward-a-more-resilient-soc-the-power-of-machine-learning

ML-powered Security Operations
• Machine Learning (ML) is a process used to automate learning and perform tasks without being programmed
• ML algorithms are fed data to help them analyze and prioritize alerts
• ML helps automate the analysis of large amounts of event and incident data

Types of ML Models
• Supervised models learn by example, applying knowledge from labeled datasets
• Unsupervised models identify structure, relationships, and patterns in unlabeled datasets
• Large Language Models (LLMs) analyze syntax and semantics to create new content
• Reinforcement models learn strategies through trial and error

USM Anywhere Platform
• Utilizes ML models to automate extraction of IOCs and add context such as associated threat actors
• Generates higher-confidence alerts with less false positives
• Provides advanced behavioural detections
• Extensible architecture allows for new models as the threat landscape dictates