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.
|
Detection Type
|
Description
|
|
File
|
After detecting an unknown or low-prevalence file, the Security Agent 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 Predictive Machine Learning,
the Security Agent
can attempt to
Quarantinethe affected file to prevent the threat from continuing to spread across your network. |
|
Process
|
After detecting an unknown or low-prevalence process,
the Security Agent
monitors the process using the Contextual Intelligence Engine, and sends the behavioral
report to the Predictive Machine Learning engine. Through use of behavioral malware
modeling, Predictive Machine Learning compares the process behavior to the model,
assigns a
probability score, and determines the probable malware type the process is executing.
Depending on how you configure Predictive Machine
Learning, the Security Agent can
Terminatethe affected process or script and attempt to clean the file that executed the process or script. |