Cutting Through the Hype to Discover Real Next-Gen Threat Detection and Response
Although security analysts and solution vendors use a variety of terms and jargon to describe the markers of next-generation endpoint security, there isn’t a set definition. Originally, the term was coined to differentiate innovators in the endpoint protection market who no longer relied upon traditional antivirus methods for detecting threats. These vendors had re-architected their detection and protection algorithms, moving away from the signature-based approaches that had been used so widely up to that point. The term “next-gen” also referred to vendor solutions that had begun using real-time methods, the cloud, machine learning (ML), artificial intelligence (AI), and/ or behavioral analysis to increase efficacy and speed, and to automate threat detection and response.
As even the traditional antivirus companies who were slower to adopt “next-gen” methods began catching up—adding next-generation components to their existing architectures, etc.—the lines began to blur. At this stage in the game, a next-gen endpoint security solution really means one that is effective against the high velocity and volume of sophisticated, evolving, multi-stage attacks that are currently being launched to compromise endpoint devices and data today. To accomplish that task, a solution needs to examine every process on every endpoint to detect all types of attack vector, and block the malicious tools, tactics, and procedures attackers deploy.