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Today’s topics include T-Mobile achieving a major milestone in its pursuit of 5G wireless, and FireEye boosting endpoint security with MalwareGuard machine learning.
T-Mobile’s CTO Neville Ray announced July 27 that the company has successfully tested a simultaneous, non-standalone 5G “New Radio” and 4G LTE connection. This along with its first standards-based 5G New Radio bi-directional transmission in June has shown that T-Mobile along with partner Nokia has the technical ability to build a 5G network.
The July 27 test is important for two reasons. First, 5G will work in conjunction with 4G LTE for many if not most communications, even when 5G devices are available. This is because 4G LTE will be used when bandwidth needs don’t require 5G. Second, the 4G LTE networks will still be used because the vast majority of devices initially will be for 4G.
T-Mobile and Nokia also announced July 30 that they have signed a $3.5 billion agreement for Nokia to help build T-Mobile’s 600MHz and 28GHz nationwide 5G network.
FireEye announced the addition of its new MalwareGuard machine learning capability for endpoint threat detection to the FireEye Endpoint Security 4.5 update on July 31.
The MalwareGuard feature provides organizations with a new method to autonomously detect and classify malware, and complements behavior-based ExploitGuard, signature-based MalwareProtection, and intelligence-based IOC detection capabilities in FireEye Endpoint Security.
John Laliberte, senior vice president of engineering at FireEye, said the machine learning behind MalwareGuard is able to make predictions on potential malware without the need for human involvement. “The way we think about MalwareGuard technology is that it automates and reduces the time from when a new threat is discovered and it eliminates the human component of the analysis, allowing for automatic protection,” he said.