Arista AVA Network Detection and Response Sensor

Arista AVA Network Detection and Response Sensor

Brand: Arista | Category: Network Security

SKU: AVA-S-200-A | Part #: AVA-S-200-A | MPN: AVA-S-200-A

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About the Arista AVA Network Detection and Response Sensor

The Arista AVA Network Detection and Response Sensor (AVA-S-200-A) is an AI-driven autonomous threat detection appliance designed to identify and respond to advanced network threats in real-time. Leveraging machine learning algorithms trained on behavioral baselines, the sensor operates passively or inline to detect anomalous traffic patterns, lateral movement, and zero-day attack indicators across enterprise network segments without reliance on signature-based detection rules.

The AVA-S-200-A integrates seamlessly into zero-trust security architectures by providing continuous network visibility and autonomous threat response capabilities. It ingests full packet captures and NetFlow metadata, correlating activity across encrypted and unencrypted protocols to surface threats that evade traditional perimeter defenses. The sensor supports deployment in multi-segment network topologies, including data center fabrics and branch office environments.

Ideal for

  • Detect lateral movement and command-and-control communication within segmented network zones post-breach
  • Identify anomalous user and service behavior deviating from learned baseline patterns in zero-trust environments
  • Monitor encrypted east-west traffic in data center networks for indicators of compromise without decryption
  • Investigate and contain advanced persistent threats through autonomous response playbooks and alert enrichment
  • Validate network segmentation policy effectiveness by identifying cross-segment traffic violations and misconfigurations
  • Support forensic analysis and incident response by preserving and indexing full-fidelity packet capture data

Technical specifications

ManufacturerArista
ModelAVA Network Detection and Response Sensor
Part NumberAVA-S-200-A
Product CategoryNetwork Security - Threat Detection & Response
Detection ArchitectureAI/ML-based autonomous threat detection
Deployment ModePassive tap or inline bridge
Packet CaptureFull packet capture with indexing
Flow AnalysisNetFlow v5/v9, sFlow, IPFIX support
Protocol SupportL2-L7 encrypted and unencrypted protocols
Threat Detection MethodsBehavioral anomaly detection, lateral movement analysis, C&C communication identification
Response CapabilitiesAutomated response playbooks, alert enrichment, segment isolation triggers
Integration APIsRESTful API, syslog, SNMP traps, SIEM connectors
Network VisibilityMulti-segment topology mapping and policy validation
Data RetentionConfigurable packet capture and metadata retention
Management InterfaceWeb-based dashboard and command-line interface
Security Architecture AlignmentZero-trust network architecture support
Launch TimelineQ1 2025

Available from Omnixon Global. Submit an RFQ and our team will confirm configuration and availability for your order.

Technical Specifications

BrandArista
CategoryNetwork Security
SKUAVA-S-200-A
Part NumberAVA-S-200-A
ConditionNew
ModelAVA Network Detection and Response Sensor
Product CategoryNetwork Security - Threat Detection & Response
Detection ArchitectureAI/ML-based autonomous threat detection
Deployment ModePassive tap or inline bridge
Packet CaptureFull packet capture with indexing
Flow AnalysisNetFlow v5/v9, sFlow, IPFIX support
Protocol SupportL2-L7 encrypted and unencrypted protocols
Threat Detection MethodsBehavioral anomaly detection, lateral movement analysis, C&C communication identification
Response CapabilitiesAutomated response playbooks, alert enrichment, segment isolation triggers
Integration APIsRESTful API, syslog, SNMP traps, SIEM connectors
Network VisibilityMulti-segment topology mapping and policy validation
Data RetentionConfigurable packet capture and metadata retention
Management InterfaceWeb-based dashboard and command-line interface
Security Architecture AlignmentZero-trust network architecture support
Launch TimelineQ1 2025