Which SES advanced feature detects malware by consulting a training model composed of known good and known bad files?

Which SES advanced feature detects malware by consulting a training model composed of known good and known bad files?
A . Signatures
B . Reputation
C . Artificial Intelligence
D . Advanced Machine Learning

View Answer

Answer: D

Explanation:

The Advanced Machine Learning feature in Symantec Endpoint Security (SES) uses a sophisticated model trained on a large dataset of known good and known bad files to detect malware effectively. Here’s how it functions:

Training Model: The model is built from extensive data on benign and malicious files, allowing it to discern patterns that indicate a file’s potential harm.

Predictive Malware Detection: Advanced Machine Learning can detect new and evolving malware strains without relying solely on traditional signature-based methods, offering proactive protection. Real-Time Decision Making: When SES encounters a file, it consults this model to predict whether the file is likely harmful, enabling quick response to potential threats.

This feature strengthens SES’s ability to detect malware dynamically, enhancing endpoint security through intelligent analysis of file attributes.