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Illuminate and disrupt evasive threats

With NDR powered by AI

Detect and disrupt evasive threats with high-fidelity, multi-layered detection, evidence-driven analytics, and AI-powered context and workflows. Only Corelight offers complete forensic network visibility with Zeek® metadata to illuminate LOTL, fileless malware, and other attacks that have evaded endpoint detection.

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Enhanced coverage

100+

TTPs

Evidence-driven analytics

Rich data collection and integration with open-source technologies like Zeek®, Suricata, and YARA produce accurate and reliable analytics to fuel powerful threat hunting to detect novel attacks.

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98%

Reduction

in alerts

Multi-layered detection

Utilizing a suite of detection  engines—including machine learning, signatures, behavioral detections, threat intelligence, and anomaly detection—Corelight combines rich network data with novel behavioral detection, reducing false positives and improving alert accuracy.

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Close cases

2x

faster

AI-powered context and workflows

Corelight enriches detections with deep context and AI-driven automations—providing evidence-backed summaries, guided triage, and analyst-ready workflows to accelerate investigations.

Webinar

Why the right network data matters for detecting evasive threats

Register to watch ESG Principal Analyst John Grady and Corelight Field CTO Vincent Stoffer explain how security teams can use network detection and response (NDR) to combat EDR-evasive threats.

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Corelight collects and enriches data with IOCs, asset fingerprinting, EDR data, and other security context, turning it into evidence.

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  • Replace a patchwork of sources (like Netflow or firewall logs) with a single, comprehensive source of rich network telemetry.
  • Parse all North-South and East-West traffic for detailed, correlated, security-specific evidence.
  • Investigate alerts and hunt for threats with evidence that reaches back months, not just days.

Corelight multi-layered detection engine delivers AI/ML, behavioral analytics, anomaly detection, curated signatures, and threat intelligence.

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  • Detect threats that evaded endpoint defenses.
  • Detect pattern variations and suspicious activity with supervised and unsupervised machine learning models.
  • Leverage curated community contributions to detect emerging threats faster.

Corelight’s deep context and AI-augmentation deliver prioritized alerts, automated workflows, and explanation of expert-level data.

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  • Single-page triage experience, enriched with intuitive explanations of pre-correlated data and visual timelines.
  • Instant access to raw data, including logs and PCAP for deeper analysis, with the ability to easily pivot to the right data needed for triage.
  • Explainable and easy-to-comprehend detections, including machine learning detections for improved SOC knowledge and confidence in threat identification.