#MICRO FOCUS INTERSET UPDATE#
#MICRO FOCUS INTERSET TV#

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#MICRO FOCUS INTERSET UPDATE#

Especially if those devices are already in the field, where it can be impossible to update them with software agents for security providers, but also if the devices are simply too constrained to handle security software.Analytics for business insights in a data driven world Karamba actually puts its own software on embedded devices and then uses the analytics to track that device behavior for clients.ДЄs someone who tries to keep up with all of the potential weak points and new technologies aimed at securing the IoT, I think looking at this element of device behavior might help businesses with tons of embedded devices. Micro Focus sells the data analysis to Karamba Security, an Israeli IoT security startup I profiled last year. Interset doesnвЂ™t only do anomaly detection across IoT devices for security purposes Micro Focus is simply packaging up the stats for security and then signing deals with other companies to get those analytics out into the embedded world. When oddities are detected, Interset pushes those вЂњweird behaviorsвЂќ up to a dashboard for a human to review. (You knew there would be machine learning involved, right?) Honestly, most of the math the Interset folks are using is common to statistics, but they are crunching a lot of numbers for their anomaly detection algorithms. Of course, analyzing all of these variables across thousands of devices is tough, which is why Micro Focus turned to machine learning experts from Interset, which it bought in 2019.

And yes, good software will also measure network connections within the network. Other behaviors can include whether a device is on or off, the time of day or week it operates, the processes itвЂ™s trying to perform - even command-line behavior on Linux machines. But evaluating a deviceвЂ™s behaviors generally includes more than just how it behaves on the network.

#MICRO FOCUS INTERSET TV#

Currently, several companies evaluate device behavior on a network, checking to see if, for example, a camera is trying to contact an industrial controller or a TV in a conference room is trying to call out to a server in China. Simply put, if a security camera turns off in the middle of the night when it normally stays on, or if a multimode sensor starts trying to check for light levels when historically it has only collected temperature data, that could indicate an intruder or malware on the network or device. Weave didnвЂ™t really go anywhere (now weвЂ™re focused on Matter), but ScarcellaвЂ™s version is designed for enterprise and industrial deployments. I recall having a similar discussion with Google engineers when discussing the Weave protocol for the smart home. Much like law enforcement officials trying to assess threats look for suspicious behavior exhibited by people, Scarcella believes devices can provide a set of вЂњtellsвЂќ after theyвЂ™ve been compromised.ДЄll we need is software that can spot the one weird device out of thousands. And after a conversation with Kate Scarcella, chief cybersecurity architect at Micro Focus, IвЂ™m convinced that monitoring device behavior will be one of those layers. TodayвЂ™s version of better security requires layers. More devices, varied devices, and the rise of far more sophisticated attackers have led to big IT firms investing in their own security capabilities while our government issues executive orders trying to compel companies to invest in better security. Not a week goes by without some sort of vulnerability or breach associated with the IoT taking place.

Micro focus interset