Network Detection and Response (NDR) has emerged as a must-have capability of modern security operations (SecOps). NDR provides deep visibility, detection of advanced threats that evade other security tools, and rapid response capabilities to address the SecOps challenges of incomplete visibility, detection gaps, high SIEM and storage costs, and tool sprawl that impact accuracy, speed, and efficiency.
We are thrilled to announce that Gartner recently recognized Corelight as a Leader in its inaugural version of the Magic Quadrant™ for NDR. To us, this recognition acknowledges our strength in the ability to execute and the completeness of our vision as well as reinforces Corelight’s leadership position with 98% of our customers recommending Corelight in the last 12 months.
Our customers report key advantages as a result of working with Corelight:
- Not all network data is created equal. During incidents, defenders need rich, actionable evidence to understand attack vectors, spot lateral movement, and reconstruct attacker behaviors with clarity. Corelight provides deep, forensic-quality network evidence for defenders to disrupt advanced attacks from causing widespread damage.
- Overreliance on a singular detection capability can lead to detection gaps and increased false positives. Corelight's multi-layered detection strategy fuses machine learning, behavioral analytics, curated signatures, and threat intelligence to deliver prioritized aggregated alerts based on risk and expert-tuned detections.
- Transparency and explainability are crucial for advancing SecOps' understanding of the threat landscape. With Corelight, defenders benefit from explainability, insights, and support of a vast community, not just a proprietary vendor.
- Machine learning and artificial intelligence can accelerate threat detection, triage, and response. Corelight's integration of Large Language Models (LLMs) and ML-based detection algorithms into our NDR solutions enables evidence-backed summaries, guided triage, and analyst-ready workflows to accelerate investigations.
- With a strong and growing technology alliances ecosystem, Corelight Open NDR can be seamlessly deployed in wide architectures from SIEMs and data lakes to cloud SaaS.
Corelight has continued to deliver strategic innovation to increase the value of network evidence and NDR for our customers, including:
- AI for SOC Workflow: Corelight’s LLM integration offers detailed explanations and actionable next steps for triage, investigation, and remediation. A static, bot-like interface provides guided prompts for deeper analysis. We also convert traffic logs and payloads into plain English summaries with key highlights for quick scanning, ensuring clarity for non-network experts while robust security and privacy opt-ins safeguard data.
- Static File Analysis: Corelight delivered the capability to dedupe and extract files from network traffic and analyze the files for malware detection - in real time. Integrating YARA into our NDR platform powers the scanning of files with standard and customizable YARA rules. This innovation leverages community-driven intelligence to enhance threat detection, reduce false positives, and improve forensic capabilities while further consolidating tools.
- Value of Network Evidence: Corelight's continued investment in enrichment of network evidence with threat intelligence feeds and security data from other tools like EDR enhances the value of network evidence.
- Advanced Threat Detection: Corelight’s investment in multi-layered threat detection has led to the successful detection of evasive threats like Volt Typhoon. Corelight’s supervised and unsupervised machine learning models, built with peer-grouping and explainability, reduce false positives compared to other ML-based detection methods. Corelight also provides community-developed content that helps identify new and developing threats.
Our ability to innovate with a deep understanding of the market is what makes us a leader.
The 2025 Gartner Magic Quadrant for NDR Report
We're pleased to offer you a complimentary copy of the report starting June 2, 2025.
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Gartner Magic Quadrant for Network Detection and Response
Authors: Thomas C Lintemuth, Esraa ElTahawy, John Collins, Charanpal Bhogal
Date: May 29, 2025
