Key findings from the report:
- Network detection and response (NDR) products detect abnormal system behaviors by applying behavioral analytics to network traffic data. They continuously analyze raw network packets or traffic metadata within internal networks (east-west) and between internal and external networks (north-south).
- NDR products include automated responses, such as host containment or traffic blocking, directly or through integration with other cybersecurity tools.
- NDR complements other technologies that primarily trigger alerts based on rules and signatures by building heuristic models of normal network behavior and detecting anomalies.
- Gartner assesses vendors' ability to execute and completeness of vision, identifying Lleaders, Challengers, Visionaries and Niche Players.
Why our customers choose Corelight
- Critical Evidence for Defenders: Corelight delivers rich, forensic-quality network data to uncover attack vectors, spot lateral movement, and disrupt advanced threats effectively.
- Multi-Layered Detection Approach: Corelight combines machine learning, behavioral analytics, curated signatures, and threat intelligence to minimize detection gaps and deliver prioritized alerts based on risk.
- Transparency and Community Support: Corelight provides defenders with actionable insights and the support of a global community, offering transparency beyond proprietary vendor limitations.
- AI-Driven Acceleration: Corelight integrates Large Language Models (LLMs) and ML-based algorithms to deliver evidence-backed summaries and guided triage workflows for faster, more efficient investigations.
- Flexible Deployment Across Architectures: Corelight Open NDR integrates seamlessly into diverse architectures, from SIEMs and data lakes to cloud SaaS environments.
GARTNER is a registered trademark and service mark, and MAGIC QUADRANT is a registered trademark of Gartner, Inc. and/or its affiliates in the U.S. and internationally and is used herein with permission. All rights reserved. This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. The Gartner document is available upon request from Corelight. Gartner does not endorse any vendor, product, or service depicted in its research publications and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner’s research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
Gartner Magic Quadrant for Network Detection and Response,
Thomas C Lintemuth, Esraa ElTahawy, John Collins, Charanpal Bhogal
May 29th 2025
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