Overview

The modern enterprise is incredibly complex and difficult to secure. Cloud workloads, IoT, remote workforces, and complex application dependencies have expanded the attack surface and created an explosion of data as devices, applications, and users all interact with each other. The old security model of prevention and protection is no longer sufficient. The future of Security Operations is detection and response. AI is at the core of that approach, and ExtraHop is at the forefront of that shift.
Unlike other security tools that perform ML on the sensor using limited data sets and limited models, 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 our AI learns makes our detections focused, precise, and uniquely reliable – as well as up to 84% percent faster.
Reveal(x) has been tested in the most demanding enterprise environments, and our AI enables us to continuously meet the fast-evolving needs of our customers. Using network traffic to perform sophisticated machine learning for advanced behavioral detection, Reveal(x) exposes every device communicating over the network or accessing network resources – whether it’s an employee-owned laptop or a storage bucket in the cloud – for vulnerabilities or compromise. As the changed reality of work brought on by COVID-19 makes securing the enterprise even more difficult, cloud-scale AI-driven security is more critical than ever before.