How is AI security improving cybersecurity?

AI has been introduced into many cybersecurity tools. How has this improved the efficacy of these tools? Are there any drawbacks?

22 Answers

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Modern Security Operations teams have access to vast amounts of data, but this has not translated into greater effectiveness. The goal of NTA is to not only eliminate blind spots with unprecedented visibility, but to also cut through the noise of alerts with high-fidelity behavioral analytics.

In addition, it should dramatically reduces the time required to take action, from days to seconds, through automated investigations. To achieve these goals, NTA takes advantage of new machine learning and network traffic analytics technology. At its core, NTA which should be powered by an open, programmable, and extensible real-time streaming analytics platform and cloud-based behavioral analytics for full layer-7 visibility.

  • NTA shave Analytics and Investigation platform for the enterprise.

  • NTA real-time analytics and machine learning to every network transaction to cut through the noise and deliver concrete answers

  • Much like SIEM, NTA turned logs into operational insights, NTA turns network data into real-time situational intelligence

  • NTA technology is often used by Security and IT Ops teams to support key initiatives like Security, App Service Delivery, and IT Modernization

Find out what your peers are saying about Darktrace, Cisco, Vectra AI and others in Network Traffic Analysis (NTA). Updated: March 2021.
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