Solution Brief

Solution At-A-Glance

Rich Network Traffic Data for Machine Learning (ML) & Artificial Intelligence (AI)

Because the Success of Your Solutions Depends on the Quality of Your Data

Ground-truth traffic data to make the most of ML and AI in cybersecurity solutions

Data quality has an enormous effect on the accuracy and efficacy of ML and AI results. Enhancing the quality of the input data alone can dramatically improve models’ output—without making changes to the algorithms used.

Network traffic data is arguably the most important input source for cybersecurity (especially when correlated with endpoint logs), and it is here that Enea Qosmos ixEngine® is cybersecurity vendors’ most powerful asset.

In this 2-page solution overview, you will learn how you can benefit from real-time network traffic data of unmatched depth, breadth and precision to drastically reduce data preparation time while strengthening the accuracy and efficacy of your ML and AI-based cybersecurity solutions.

Interesting in leveraging top quality network traffic data to boost your ML/AI results?

Contact us for more information on the structured, high-quality and ultra-reliable network traffic data delivered by Enea’s next-generation deep packet inspection (DPI) and traffic intelligence technology and how you can use it to boost your ML projects and AI innovation.

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