Corelight: A Leader in the 2025 QKS SPARK Matrix for Network Detection and Response (NDR)

Elevate Your Security Operations with Evidence-Based NDR:

Corelight is proud to be featured as a Leader in the 2025 QKS SPARK Matrix for NDR, a testament to our commitment to delivering advanced network visibility and high-fidelity threat detection for the world's most complex, high-throughput environments.

Our Open NDR Platform, built on the power of open-source leaders like Zeek, Yara, and Suricata, transforms network traffic into the definitive, structured evidence security teams need to disrupt sophisticated attacks and accelerate investigations.

Why Corelight Stands Out in the SPARK Matrix

Corelight's strengths are rooted in innovation designed for the demands of large enterprises, government agencies, and managed service providers.

• AI-Powered Analyst Acceleration 
  LLM-Powered Analyst Assistance: Dramatically reduce manual workload. Our generative AI summarizes alerts and provides contextual investigation workflows, helping analysts of all levels triage incidents faster and more efficiently.
• Superior Network Visibility
  Encrypted Traffic Visibility without Decryption: Detect threats hidden in SSL, SSH, VPN, and RDP traffic using JA3/JA3S fingerprinting, preserving privacy and compliance while exposing malicious activity.
  High-Fidelity Evidence: Fusing dynamic network detections, AI, IDS, NSM, and static file analysis into a single architecture provides comprehensive, enriched metadata.
• Optimized Performance & Forensics
  Smart PCAP Technology: Say goodbye to excessive storage costs. Our selective packet  only retains packets relevant to investigations, enabling longer data retention (up to 7 years) and streamlining forensic analysis without sacrificing essential context.
  High-Throughput Sensors: Support the most performance-intensive environments with sensors capable of 100 Gbps ingestion and scalable packet analysis.
• Comprehensive Threat Detection
  Multi-layered Detection: Corelight applies machine learning to detect over 80 MITRE ATT&CK TTPs, combining it with deep Zeek metadata and Suricata IDS alerts in a single, transparent sensor.