cPacket AI
Investigate with AI. Prove with packets. Act with confidence.
Turn Packet Data into Fast, Explainable Answers.
Complex incidents force teams to move between tools, compare conflicting signals, and escalate to scarce packet experts. The result is a widening gap between alerts and defensible answers.
Most AI tools promise automation. Few can validate their conclusions. Fewer still provide compliance-ready control.
cPacket AI applies AI-guided investigations and embedded troubleshooting expertise to the packet data you already trust. Teams can ask questions in plain language, trace findings to packet evidence, and control every action. cPacket AI workflows run within your environment, using your AI platforms to meet the strictest governance requirements – even in air-gapped networks.
See how cPacket AI can accelerate your network and security workflows.
Close the Gap Between Incident and Answer
Faster, Simpler Troubleshooting
Cut MTTR from days to minutes by replacing manual triage and tool-hopping with evidence-based answers.
Maintain Control and Compliance
Every investigation is traceable, every action is controlled by humans, and data never leaves your secure environment.
Increase Operational Efficiency & ROI
Streamline cross-functional workflows and improve decision-making, with fewer tools and lower token costs.
Scale Network Expertise Across Teams
Empower more teams with packet-level troubleshooting to reduce escalations and drive consistent outcomes.
AI-Guided Investigations
Move from plain-language questions to suggested root cause and next steps using existing packet data.
Packet-Level Evidence
Leverage immutable evidence to validate every finding, inform every decision, and defend every action.
Built-in Troubleshooting Skills
Tap into expert-level methodologies and packet analysis to get consistent answers – while reducing token usage by up to 92%.
Open AI Integrations
Share packet intelligence across network, security, and AI tools with open APIs and Model Context Protocol (MCP).
cStor® appliances automatically capture, index, and analyze every packet at line rate – nothing sampled, nothing lost.
cVu® packet brokers deliver the right packets, all the time, to the network and security tools that keep your business running.
cClear® Control Center provides a unified view of packet intelligence across complex hybrid networks.
cPacket’s Cloud Observability Suite enables end-to-end traffic visibility across physical, virtual, hybrid, cloud, and containerized environments.
“cPacket AI is designed for the way our team actually works. Instead of 10 people investigating slowdowns for days, we’re using our company's LLM to get root cause in minutes. No matter how accurate the findings, we stay in control of remediation actions.”
Lead Network Engineer
Financial Services Enterprise
Frequently Asked Questions
Get answers to common questions about network observability and cPacket solutions.
IT teams use AI to help engineers, not replace them. For NetOps, the main uses are incident resolution (finding the root cause and recommending fixes), change management (checking impact before a change and confirming results after), and proactive work (such as baselining, compliance reports, capacity planning, and inventory). In one evaluation, cPacket AI found the same P1 root cause in 40 minutes that took 20 people 10 hours.
Look for observability AI solutions that analyze the best data (such as packet-derived metrics) to correlate events, detect anomalies, find root causes, and recommend next steps. AI features that use incomplete data, or AI configuration assistants add little operational value.
Check the architecture of your observability solution. Your network traffic data and metrics should always stay on-site, and AI tools should have secure, read-only access to your data. You should also make sure that the solution works with your company's sanctioned LLM, so the vendor never trains models on your data. Finally, AI should not be allowed to take automatic action without the control of a human operator.
Yes. cPacket AI is model-agnostic. Use Claude, GPT,Gemini, or another LLM through any AI client that can securely reach cPacket’s private Model Context Protocol (MCP) servers.
With cPacket AI, network engineers can use existing packet data (from dashboards and PCAPs) to validate every AI finding and suggestion. The entire investigation path is traceable from the original question to the conclusion.
Our Resources
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Learn more about cPacket solutions.
Our team of experts can work with you to align your network strategy to cPacket’s industry-leading packet broker and capture solutions.