SEATTLE – JULY 7, 2020 – ExtraHop, the leader in cloud-native network detection and response, today announced that it has been named to the 2020 Forbes AI 50 list for its advances and innovation in the use of machine learning and artificial intelligence for cybersecurity.
Forbes evaluated hundreds of applications to recognize 50 private, U.S.-based companies for their innovative use of artificial intelligence to drive outcomes for customers and within their own organizations. ExtraHop was selected on the basis of company growth and revenue, as well as for its leadership in the use of machine learning and AI for cybersecurity threat detection, investigation, and response.
"Increasingly advanced cybersecurity attacks, including those sponsored by nation-states, require a sophisticated approach to threat detection and response," said Arif Kareem, CEO of ExtraHop. "This is not possible without machine learning and AI. At ExtraHop, we've applied these techniques to enable enterprises to detect and respond to cyber threats across complex enterprise and cloud environments at scale. Our inclusion on this list recognizes the strength of our approach."
ExtraHop Reveal(x) applies the scalable computing resources of the cloud for ML and AI. This cloud-scale machine learning is unique in the network detection and response (NDR) market, allowing Reveal(x) to apply millions of models to over 5,000 features of data derived from 4-plus petabytes of anonymized threat telemetry collected from more than 15 million devices and workloads worldwide every day. The sheer volume of data on which ExtraHop's AI learns makes its detections focused, precise, and uniquely reliable – as well as up to 95 percent faster.
To view the 2020 Forbes AI 50 List check out the entire list on Forbes.com.
ExtraHop was also listed as a 20 Best Cybersecurity Startups To Watch In 2020 on Forbes.com.
To learn more about ExtraHop's approach to machine learning, visit https://www.extrahop.com/products/machine-learning/