A suite of behavioural classifiers have been developed for the Perception sensors to detect suspicious activity based on the information gathered by the Network Drive Activity Cache. These classifiers monitor behaviours such as file access, modification, upload, download and report on potential policy breaches and/or unusual activity.
The ability to attribute user network based activity to specific windows file sharing operations. This allows for enhanced detection of Ransomware during the Ransomware payload execution.
Additionally, policy-based classifiers can assist in ensuring that you company processes are being followed, for example search patterns can be setup to look for certain filenames, users or extensions of interest that have been seen being used within your network.
So as we said last week, we’ve implemented a Network Drive Activity Cache and naturally, because we have a behavioural engine, we can now identify behaviours based on the information in that cache. We’ve put together a number of behavioural classifiers already based on some real world threats we’ve seen in the wild, but expect more of these classifiers to be implemented over time as we discover more vulnerabilities and scenarios we want to alert on.
One of the things Perception customers love the most isn’t just its ability to pick up on malicious activity, but its ability to discover network vulnerabilities before they are exploited by a malicious actor. Again, these classifiers can be used to discover poor network security practice by discovering users storing confidential information in unencrypted files, it’s the little things like that make Perception so useful.
This update is CCS and sensor based, and will be pushed to all managed customers at the pre-agreed upgrade time. Self-monitored customers can update their own sensors and CCSs using the software upgrade process. Please be aware, this feature requires the Network Drive Activity Cache to be active. If you have any further questions about this upgrade please contact us at email@example.com