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cStor®-V Virtualized Packet Capture 

cPacket Networks
Network Packet Capture with Analytics for Cloud and Virtualized Environments
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Virtualized Packet Capture 
  • Stored network packets complement streamed network packets by providing data for security and performance analytics, other tools, and dashboards. Use-case oriented benefits include:
  • • Historical network packet data is vital for security, performance management, and regulatory compliance uses
  • • Capture and store high volumes of packets enriched and indexed (by timestamp and tag metadata)
  • • Analytics for protocols, latency, jitter, market data gaps (cMDF), refer to the Technical Specifications for more
  • • Query and Search across all instances/nodes for strings, IP addresses, ports, etc., see the User Guide for details
  • • Export packets to PCAP files using Berkeley Packet Filtering and grouping by selecting timeframes and tags
cStor-V Virtualized Packet Capture enables you to:
  • •Strengthen your security posture with security evidence for threat hunting, security analytics, forensic analysis, and replaying attack TTPs
  • •Efficiently troubleshoot problems, plan capacity, and analyze the network health, traffic, flows, and protocols (e.g., TCP, UDP, etc.)
  • •Query, search, and replay network traffic before, during, and after an event to understand what happened
  • •Provide information and evidence for regulatory compliance
  • •View detailed TCP, conversation, and flow statistics with flow indices by parsing layer 2-4 packet headers
  • •Export packet data as PCAP files for use with other tools (e.g., Wireshark)
  • •Democratize access with role-based permissions to people, analytics, andIT tools
  • •Scale to support temporary (elastic)and permanent growth
  • •Uniformly manage multiple capture nodes and the high volume of packets across any distributed, multi-cloud, or hybrid network
  • •Quickly get started leveraging stored network packet data by deploying self-hosted executable images with installation scripts in Amazon WebServices (AWS), Google Cloud, andMicrosoft Azure1

 Streamed and stored network packet data is vital for maximising security posture and observability of your network, IT infrastructure, and application workloads. This agentless virtualized packet capture solution facilitates the availability of stored network packet data, traffic analytics, and KPI metrics to IT personnel and the analytics and tools they use. It is a self-hosted component if the cCloud™ Visibility Suite that is ready to deploy, use, and scale with: 

  • Public Cloud Infrastructure: AWS, Azure, Google Cloud
  • Hypervisors: VMware ESXi, Microsoft Hyper-V, KVM, Cisco NFVIS

Stored packets are necessary to strengthen your security posture, efficiently troubleshoot network problems and capacity shortcomings, monitor performance vis-a-vis service level agreements (SLA), and provide information and evidence for regulatory compliance. Packets are captured, enriched with metadata, routed to persistent storage, and are available by API and direct queries. Captured packets are enriched with timestamps and event tags received via an open API (e.g., a breach alert from a firewall). Data is indexed and organised for fast recall and grouping. Packets can also be selected, grouped, and exported as a PCAP file. 

The virtualized Packet Capture and physical Packet Capture Appliances (cStor®-V and cStor®, respectively) interoperate to provide a single, seamless, and holistic view of your network from your choice of vantage points. You get elastic scalability and unified access to all stored packets from anywhere in a distributed or hybrid network, from all physical and virtual cStor Packet Capture nodes. Queries and searches also span across all nodes and all data. 

All cStror-V nodes and captured-and-stored packet data are accessed using an API, the appliance’s user interface, and the cClear® or cClear®-V Analytics Engine and Administration Console. Packet capture scales from just one VPN to a globally distributed hybrid network. Unified centralised administration lowers the effort to manage nodes and the high velocity and high volume of network packet data captured from multiple strategic vantage points in any network. 

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