Corelight vs Arista NDR
Corelight
Corelight is a network detection and response (NDR) vendor founded in 2013 by the creators of the open-source Zeek framework (formerly Bro). Its Open NDR Platform combines Zeek network evidence with Suricata intrusion detection, YARA file analysis, behavioral analytics, machine learning, and packet capture for threat detection, investigation, and incident response. It is positioned as an open-core product and integrates with SIEM and XDR tools, supporting on-premise appliances, virtual and software sensors, and cloud deployments across AWS, Azure, and GCP. Corelight remains a steward of the Zeek project.
Pros
- Built on the open-source Zeek standard, producing high-fidelity, well-enriched network logs
- Combines Zeek evidence with Suricata IDS and packet capture for detection and forensic context
- Flexible deployment across appliances, virtual sensors, and major cloud providers
Cons
- Reported learning curve; better suited to larger organizations and experienced SOC teams
- Alerting reported as limited to Zeek and Suricata detections
- Total cost can be high when feeding ingest-priced SIEMs, and pricing is not publicly listed
Pricing: Contact for pricing
Arista NDR
Arista NDR is a network detection and response platform that analyzes enterprise network traffic to discover entities, detect threats, and support investigation and response without endpoint agents. The product originated as the Awake Security NDR platform, founded in 2014, which Arista Networks acquired in 2020 and rebranded. Its components include EntityIQ for entity tracking, the AVA decision-support engine, and Adversarial Modeling for threat hunting. Sensors can run on Arista switches, as physical or virtual appliances, and in public cloud environments such as AWS and Google Cloud.
Pros
- Behavior-based detection with reported low false-positive rates
- Agentless deployment reported as fast to stand up
- Optional managed NDR threat-hunting service for lean teams
Cons
- Reviewers report occasional entity-resolution errors that merge unrelated devices
- Indicator-of-compromise ingestion is largely manual
- Query language has a learning curve for advanced searches
Pricing: Contact for pricing