What term describes algorithms that learn patterns from data and are used for supervised malware detection and UEBA?

• A. Artificial Intelligence
• B. Pattern Recognition
• C. Machine Learning
• D. Deep Learning

Answer: (C)

Learning from data to identify patterns and make predictions is what this item is testing. In supervised malware detection and UEBA, algorithms are trained on labeled examples—malware versus benign software, or normal versus anomalous user/entity behavior—so they can classify new data or detect anomalies. That data-driven learning and predictive capability is the essence of Machine Learning. Artificial Intelligence is a broader umbrella that includes ML but isn’t as specific. Pattern recognition often describes identifying patterns, but it doesn’t necessarily imply learning from data with labeled examples in the way ML does. Deep Learning is a subset of ML based on neural networks; it’s a powerful approach but not the general term for all these learning-from-data algorithms. So the distinguished term that fits these uses is Machine Learning.