Detect emerging threats using Predictive Machine Learning
Use Predictive Machine Learning to detect unknown or low-prevalence malware. (For more information, see Predictive Machine Learning.)
Predictive Machine Learning uses 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. To enable Predictive Machine Learning, perform the following:
As with all detected malware, Predictive Machine Learning logs an event when it detects malware. (See Event collection in Deep Security.) You can also create an exception for any false positives. (See Create anti-malware exceptions.)
Predictive Machine Learning is configured as part of a real-time scan configuration that is applied to a policy or individual computer. (See Configure malware scans.) After you configure the scan configuration, apply it to a policy or computer.
Predictive Machine Learning protects only the files and directories that real-time scan is configured to scan. See Specify the files to scan.
These settings can only be applied to the real-time scan configuration for Windows computers.
- Go to Policies > Common Objects > Other > Malware Scan Configurations.
- Select the real-time scan configuration to configure and click Details.
You can also create a new real-time scan configuration if desired.
- On the General tab, under Predictive Machine Learning, select Enable Predictive Machine Learning.
- Click OK.
- Open the policy or computer editor to which you want to apply the scan configuration and go to Anti-Malware > General.
- Ensure that Anti-Malware State is On or Inherited (On).
- In the Real-Time Scan section, select the malware scan configuration.
- Click Save.