Superior AI, Superior NetOps, it all starts with Superior Data
Without full fidelity curated observability data, AI can’t deliver the speed, insight or scale that modern NetOps teams require.
By Brendan O'Flaherty, Chief Executive Officer
Today’s enterprise networks are exponentially more complex. Hybrid architectures, distributed workloads, and AI-driven data centers have redefined what “performance” looks like. The volume, velocity, and variety of traffic have exploded—yet network operations and security teams are expected to maintain flawless uptime with lean staffing and legacy tools. That’s a formula for failure.
At cPacket, we believe this is exactly where AI delivers real, immediate value—a layer of intelligence that empowers NetOps teams, protects uptime, boosts productivity, enhances security, and links network health directly to business performance. But AI doesn’t work without a strong foundation. It starts with the data.
Step 1: Start with the Most Accurate Data
cPacket has pioneered AI-ready network observability data by inspecting and capturing the most granular and accurate information available: network packets. Packets aren’t summaries or interpretations, rather they are the immutable truth of the network, captured completely and accurately. cPacket then curates the billions of network packets and transforms that raw traffic into intelligent, trusted observability data which is the foundation for smart AI. Years ago, we recognized where the industry was heading and built for the future—not for the status quo. Our architecture was purpose-built: non-proprietary, performance-optimized, and focused on packet-level insight.
This foundation now enables clean, complete, and context-rich data—exactly what AI models need to produce accurate outcomes. As Salesforce CIO Juan Perez put it, “If you want quality, trusted AI, you need quality, trusted data.” That’s what cPacket delivers. Our commitment to packet-level truth ensures AI outputs you can really trust.
Step 2: Train the Right Algorithms
Great data isn’t enough. At cPacket, we’ve spent four years developing algorithms capable of scaling across complex, globally distributed networks— data centers, cloud, and colocation facilities. These models are built based on cPacket’s practical experience with these large-scale network environments to ensure accuracy, speed, and resilience.
Step 3: Enable the Human Experts
AI doesn’t replace engineering -- it empowers them. By filtering the noise and surfacing what matters, AI allows NOC engineers to spend their time as strategic problem solvers. It preserves senior-level expertise, captures tribal knowledge, and makes it accessible across the organization—turning AI into an intelligent co-pilot for every engineer.
The Promise
The true power of AI lies in amplifying human expertise. Instead of sifting through trillions of packets with legacy tools, engineers focus on anomalies, predict problems before they happen, and continuously optimize systems. Organizations that adopt AI-enhanced NetOps first will gain a clear business advantage: better uptime, faster MTTR, more efficient teams, and better user experiences.
This post is part of a content series from cPacket on AI and network observability. We’ll explore the tech, the use cases, and how customers are turning this into action. If you’re looking to boost agility, lower costs, and give your team a real force multiplier—follow along.
Let cPacket show you the way. The AI-Enhanced NetOps era has arrived. Are you ready?
