More: Impressive!SE Labs threat prevention evaluation of Deep Instinct - Deep InstinctNEW YORK, N.Y. – April 10, 2019 – According to the latest test results from SE Labs’ independent threat prevention evaluation lab, Deep Instinct’s D-Client (v220.127.116.11) achieved a 100% prevention rate and zero false-positives – when detecting and blocking known and unknown cyber threats, including file-based and file-less attacks. The independent results also highlighted Deep Instinct’s ability to provide a wide range of detection and threat blocking capabilities without interfering with system performance.
Powering Deep Instinct’s D-Client is a deep learning-based malware detection and prevention engine,
D-Brain, which was trained in August 2018, six months prior to the customized-targeted threats being created. However, D-Client was still able to successfully detect and prevent all attacks. By leveraging D-Brain’s proprietary deep neural network architecture – revered for the best accuracy in known and unknown malware detection and prevention – all threats were successfully prevented pre-execution with no other processes running.
“SE Labs’ tests are renowned for being technically challenging and in-depth. It’s rare to achieve 100 percent ratings, which is precisely what Deep Instinct has done with its D-Client solution,” said Simon Edwards, CEO of SE Labs and chairman of the board of the Anti-Malware Testing Standards Organization (AMTSO). “It’s impressive that the company’s technology was capable not only of blocking all of the advanced threats, but to do so with zero-false positives.”
In the video they claim that with their technology they are able to detect malicious code in virtually all file types. In case this is true I´m just wondering why other vendors are not able to apply their machine or deep learning models not only to binaries and office documents but to all file types.