Project STAMINA Uses Deep Learning for Innovative Malware Detection

You’re familiar with the phrase, “A picture is worth 1,000 words.” Well, Microsoft and Intel are applying this philosophy to malware detection—using deep learning and a neural network to turn malware into ...
TLS fingerprinting

TLS Fingerprinting: Rethinking Encrypted Traffic Analysis Strategies

 There seems to be some confusion about the appropriate way to use TLS fingerprinting in an environment. Anytime an SSL library, a library that uses any of those libraries, an OS or ...
Security Boulevard
credential theft

In the New Fight Against Malware, It’s Spy vs. Spy

Cybersecurity teams are in a tough spot. New, insidious types of malware are emerging all the time (more than 800 million total million malware seen in 2019). In many cases, corporate security ...
Security Boulevard
LinkedIn Jobs, The Malign Effect

LinkedIn Jobs, The Malign Effect

Fake Jobs, leading to malware infections, that is. Microsoft Corporation (Nasdaq: MSFT and it's LinkedIn unit must focus on protecting their product, which of course, are LinkedIn members. Read all about it ...
US District Court Judge To State of Georgia: Bad, Bad, Double-Bad

US District Court Judge To State of Georgia: Bad, Bad, Double-Bad

via Cyrus Farivar, writing at Ars Technica, of the apparent displeasure noted by United States District Court Judge Amy Totenberg, whilst Her Honor viewed the shenanigans being perpertrated by the State of ...
Data Forensics: A New Frontier in Malware Prevention and Detection

Data Forensics: A New Frontier in Malware Prevention and Detection

Companies devote around 90 percent of their cybersecurity resources to prevention and detection. Through regular patching and other basic prevention measures, network and security teams are keeping the world’s malware at bay ...
Security Boulevard