The fundamental flaw in today’s cybersecurity infrastructure is that detection happens BEFORE prevention. Human-generated signatures, based primarily on previously discovered samples, have failed to solve the problem as zero-day malware continues to operate silently and unimpeded
CylancePROTECT redefines what antivirus (AV) can and should do for your organization by leveraging artificial intelligence to detect AND prevent malware from executing on your endpoints in real time. By taking a mathematical approach to malware identification utilizing patent-pending, machine learning techniques instead of reactive signatures and sandboxes, CylancePROTECT renders new malware, viruses, bots, and unknown future variants useless. At the core of Cylance’s malware identification capability is a machine learning research platform that harnesses the power of algorithmic science and artificial intelligence, and analyzes and classifies hundreds of thousands of characteristics per file, breaking them down to an atomic level to discern whether an object is good or bad in real time
Black Hat,Witness Systems,Thales