The one thing that all malware has in common is that it’s comprised of computer code. But in cybersecurity, so is everything else. Lots of companies have tried to make the distinction between good and bad code, whether by comparing samples to the signatures of bad files, setting programs into a sandbox and seeing what they do, or applying artificial intelligence and machine learning to behavioral analytics while examining how a file acts. None of those methods has been entirely successful, and some, like signature-based protection, are almost completely outflanked by today’s most advanced malware.  

That is the environment that Solebit and its SoleGATE Security Platform is wading into. The company might just have found a foolproof way to identify malware, any kind or flavor, known or unknown, and block it before it even gets into a network. It does this by taking a new approach to detection that ignores heuristics, behavior or signatures. It simply presumes that there is no legitimate reason for executable code to be present within a data file, and blocks entry to any file that breaks that zero-tolerance rule.  

Skeptical IT administrators are given a dashboard that tracks every file and incident where Solebit acted to block access. Threats are identified by their type, such as code, malicious macros, micro-URLs, file execution or other programming exploits. Solebit breaks down the attacks, showing what the code would have tried to accomplish should it have been allowed to proceed. It even gives the exact code, line by line, of the exploit or malware.