Klocwork
Enterprise-Scale Static Analysis for Security, Safety, and Quality Compliance.
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.
A generative AI-powered analyst assistant that interprets complex network signals into plain-language incident summaries.
Enterprise-Scale Static Analysis for Security, Safety, and Quality Compliance.
The global tech bootcamp for future-proof career transformation in AI, Coding, and Design.
Graph-based threat modeling and attack surface visualization directly within the DevSecOps lifecycle.
Immutable video provenance through blockchain-anchored hash-on-capture technology.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
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.
Identifying ransomware activity during the 'encryption phase' before data is lost.
Registry Updated:2/7/2026
Detecting compromised third-party software communicating with malicious C2 servers.
Ensuring PII is not being transmitted in cleartext across the network.