Brand: Arista | Category: Network Security
SKU: AVA-S-200-A | Part #: AVA-S-200-A | MPN: AVA-S-200-A
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The Arista AVA Network Detection and Response Sensor from Arista is enterprise-grade Network Security hardware built for data centers. 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 rule Available in brand new condition. Arista network security products are trusted by enterprises and data centers worldwide. Available from Omnixon Global. Contact our sales team to request a quote.
| Brand | Arista |
| Category | Network Security |
| SKU | AVA-S-200-A |
| Part Number | AVA-S-200-A |
| Condition | New |
| Model | AVA Network Detection and Response Sensor |
| Product Category | Network Security - Threat Detection & Response |
| Detection Architecture | AI/ML-based autonomous threat detection |
| Deployment Mode | Passive tap or inline bridge |
| Packet Capture | Full packet capture with indexing |
| Flow Analysis | NetFlow v5/v9, sFlow, IPFIX support |
| Protocol Support | L2-L7 encrypted and unencrypted protocols |
| Threat Detection Methods | Behavioral anomaly detection, lateral movement analysis, C&C communication identification |
| Response Capabilities | Automated response playbooks, alert enrichment, segment isolation triggers |
| Integration APIs | RESTful API, syslog, SNMP traps, SIEM connectors |
| Network Visibility | Multi-segment topology mapping and policy validation |
| Data Retention | Configurable packet capture and metadata retention |
| Management Interface | Web-based dashboard and command-line interface |
| Security Architecture Alignment | Zero-trust network architecture support |
| Launch Timeline | Q1 2025 |