Unlock the power of ai: how machine learning is transforming today’s soc with #ai & #ml

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

-Security teams need to be able to detect and respond to threats fast, but the average organization generates massive amounts of data that is too much for human efforts to review and analyze in a reasonable amount of time.
-AI-powered tools are changing the way security teams operate by providing an automated way to quickly analyze and prioritize alerts.
-Machine learning is a machine’s ability to automate a learning process to perform tasks or solve problems without specifically being told to do so.
-Supervised and unsupervised ML models are used to identify anomalous behavior and detect patterns in data.
-Large language models are used to understand context and interpret meaning in existing data.
-Reinforcement models learn through trial and error, and the accuracy of the output depends on the quality and breadth of the data set used as an input.
-ML-powered tools help reduce false positives and automate workflows for more routine security operations response.
-USM Anywhere platform utilizes supervised and unsupervised machine learning models from AT&T Alien Labs OTX to generate higher-confidence alerts with less false positives and provide advanced behavioral detections.
-New, high-value ML models are continuously being introduced and existing models are refined to keep up with the ever-changing threat landscape.
-Webinar on June 28 to learn more about how ML is transforming today’s SOC and USM Anywhere platform’s own analytics capabilities.