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.
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.
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.
Corelight collects and enriches data with IOCs, asset fingerprinting, EDR data, and other security context, turning it into evidence.
- 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.
- 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.
- 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.
Leader in the 2025 Gartner® Magic Quadrant™
for Network Detection & Response
Corelight network metadata: enabling an effective cyber incident response
–Research and Development professional, read full review on Gartner Peer Insights™
Leader and Outperformer 2025 GigaOm Radar for Network Detection & Response
