Trend Micro Predictive Machine Learning uses advanced machine learning
technology to correlate threat information and perform in-depth file analysis to detect
emerging unknown security risks through digital DNA fingerprinting, API mapping, and
other
file features. Predictive Machine Learning also performs a behavioral analysis on
unknown or
low-prevalence processes to determine if an emerging or unknown threat is attempting
to infect
your network.
Predictive Machine Learning is a powerful tool that helps protect your
environment from unidentified threats and zero-day attacks.
After detecting an unknown or low-prevalence file, Deep Discovery Web
Inspector scans the file using the Advanced Threat Scan
Engine (ATSE) to extract file features and sends the report to the Predictive Machine
Learning
engine, hosted on the Trend Micro Smart Protection Network. Through use of malware
modeling,
Predictive Machine Learning compares the sample to the malware model, assigns a probability
score, and determines the probable malware type that the file contains.
Depending on how you configure your policies, Deep Discovery Web
Inspector can block the object to prevent the threat from
continuing to spread across your network. Alternatively, you can configure the policy
to monitor
and log information about the object without blocking it.