cPacket Observability AI is an AI/ML-based network observability solution that uses packet-based metadata to generate actionable insights for NetOps and SecOps teams. The product ingests and analyzes packet traffic at scale, distilling trillions of packets into fewer than 10 actionable insights per day. It correlates packet data and other telemetry sources to identify the root cause of network, application, and system issues — shifting teams from reactive troubleshooting to proactive monitoring. Key capabilities include: - Proactive issue detection using packet-level data before users report problems - Correlation of system and application issues using available network telemetry - Detection and prevention of data exfiltration, lateral movement, and IP exposure - DDoS detection and identification of high-risk external scanners - Endpoint and session-based analytics via integration with cPacket's Control Center - Unsupervised ML training that continuously improves with user feedback The solution is designed to reduce alert fatigue by replacing large volumes of daily alerts with a small set of prioritized, high-fidelity insights. It combines cPacket packet metadata with other telemetry sources to provide maximum network context to operations teams. Observability AI is part of cPacket's broader product portfolio, which also includes Packet Broker, Packet Capture, Control Center, and Cloud Suite.