Industry research

451 Research: Network traffic analytics can augment security operations expertise

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.

This resource is not yet available. It will be published soon so stay tuned!

Publication date:

January 1, 2018

Submit

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.

Yes, yes, we know, filling out forms is painful. But staring at empty boxes is even more painful. Keep in mind the form may not load if you are using an ad blocker. Once the form is filled out, you will receive your resource via email.

Vectra needs the information you provide to us to process your inquiry and to contact you about our products. You may unsubscribe from these communications at anytime. For more information check out our Privacy Policy.