Real-time AI-driven Network Detection and Response (NDR) for the hybrid enterprise.
ExtraHop Reveal(x) is a cloud-native Network Detection and Response (NDR) platform that leverages unsupervised machine learning to provide complete visibility, real-time detection, and intelligent investigation across the hybrid enterprise. By 2026, ExtraHop has positioned itself at the forefront of the SOC Visibility Triad by integrating generative AI (Reveal(x) Advisor) to automate complex threat hunting tasks and incident summarization. The platform's technical architecture is built on out-of-band packet mirroring, allowing it to analyze L2-L7 traffic—including line-rate decryption of TLS 1.3—without introducing latency or performance overhead. Its proprietary machine learning models baseline over 5,000 protocol metrics to identify lateral movement, data exfiltration, and ransomware behavior that traditional signature-based tools miss. ExtraHop’s 2026 market position is defined by its 'Full-Spectrum Analysis,' combining wire data with cloud logs and identity signals to provide a holistic view of the attack surface, particularly focusing on securing ephemeral cloud workloads and unmanaged IoT devices within the modern corporate perimeter.
ExtraHop Reveal(x) is a cloud-native Network Detection and Response (NDR) platform that leverages unsupervised machine learning to provide complete visibility, real-time detection, and intelligent investigation across the hybrid enterprise.
Explore all tools that specialize in automated incident investigation. This domain focus ensures ExtraHop delivers optimized results for this specific requirement.
A generative AI-powered analyst assistant that interprets complex network signals into plain-language incident summaries.
Proprietary out-of-band decryption for TLS 1.3 including Perfect Forward Secrecy (PFS) suites.
Heuristic analysis of East-West traffic to identify unauthorized movement between workloads.
Passive fingerprinting of non-standard devices (medical equipment, PLC, smart building tech) using protocol analysis.
Analysis of L2-L7 protocols including database queries (SQL), file transfers (SMB/NFS), and cloud APIs.
Dynamic mapping of all devices communicating on the network in real-time.
Unsupervised ML that adapts to seasonal network shifts to reduce false positives.
Define network segments and monitoring scope (On-prem vs Cloud).
Deploy ExtraHop Reveal(x) Sensors (Physical, Virtual, or Cloud-native instances).
Configure traffic sources via SPAN/Mirror ports, Network TAPs, or Cloud TAPs.
Enable decryption by securely uploading SSL/TLS private keys or using the Perfect Forward Secrecy (PFS) agent.
Connect Sensors to the Reveal(x) Console for centralized management.
Integrate with Identity Providers (Okta/Azure AD) for user-context enrichment.
Allow the system to baseline 'normal' network behavior for 7-14 days for ML calibration.
Configure SIEM/SOAR integrations (Splunk, Palo Alto Cortex XSOAR, etc.).
Define custom alerts and trigger-based notifications for high-priority assets.
Run the first automated threat hunting report using Reveal(x) Advisor.
All Set
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Verified feedback from other users.
"Users consistently praise the platform's ability to 'see' everything on the network and its superior decryption capabilities, though some note a steep learning curve for custom triggers."
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