Security personnel are executing a security strategy of using attacker behavior detections from NTA to augment log data analysis by feeding the SOC with information of active threats and feedback on remediation progress. The strategy of arming security personnel with the detection and intelligence capabilities of NTA to make better security decisions is gaining traction with enterprise security teams.
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January 1, 2018
Network traffic analytics (NTA) based on machine learning has become proficient at recognizing active threats at each phase of an attack lifecycle, to the point that security operations staff increasingly utilizeNTA insights when designing and implementing effective countermeasures. As enterprise networks become more complex and enterprise security is less able to control mobile endpoints, SOC teams leverage NTA in making better detection, response and prevention decisions to secure the business. When it comes to network security, machine learning is augmenting the role of human security experts.