The point of applying zero trust within the endpoint is to reap better protection for less effort. Familiar names in cyber security are ineffective and labor intensive because they monitor and investigate vast, diverse volumes of detection and indicator data from multiple perspectives at multiple stages of malware attacks; before and after compromise. They are parsing infinite possibilities, requiring more tools, more personnel, and more skills every year. Those who think machine learning will help them scale are finding that the single most pervasive characteristic in enterprise IT — CHANGE — is also machine learning’s greatest adversary.
How Can You Achieve Zero Trust Endpoint Protection?