Mount Laurel, NJ, March 2, 2026 (BUSINESS WIRE) — NetQuest today announced NetQuest NetworkLens™, a new portfolio of real-time network intelligence datasets engineered to power AI-driven cyber threat detection and advanced security analytics across carrier-scale networks.
As cyber defense increasingly relies on machine learning, behavioral detection, and massive data pipelines, the network metadata required to uncover advanced threats has fundamentally evolved. NetworkLens captures the precise contextual intelligence modern AI analytics need, at the scale and speed of today’s largest networks.
NetworkLens represents a new class of network intelligence purpose-built for AI-driven cyber defense at hyperscale.
Generated continuously by the NetQuest Streaming Network Sensor (SNS) platform, NetworkLens delivers structured, high-value network intelligence across application flow activity, DNS queries, routing behavior, operational telemetry, 4G/5G mobile network traffic, and wide-area transport environments. Unlike standard NetFlow records or traditional logs, NetworkLens datasets provide behavioral context, including encrypted traffic analysis and unsampled metadata required by modern AI and machine learning security platforms.
Designed for telecommunications security teams, national defense agencies and critical infrastructure organizations, NetworkLens provides continuous visibility across some of the world’s largest and most complex networks.
“AI-driven cyber threat hunting requires far richer network intelligence than traditional logs or flow records can provide — and it must operate at hyperscale,” said Jesse Price, CEO at NetQuest Corporation. “NetworkLens emerged from rethinking what metadata truly matters in defending modern networks. Our Streaming Network Sensor now generates targeted datasets purpose-built for large-scale analytics, machine learning, and mission-critical cyber defense.”
Network Intelligence Datasets Built for Hyperscale AI Security Pipelines
The NetQuest Streaming Network Sensor observes live network traffic at wire speed across massive network environments and continuously produces the structured metadata that forms the NetworkLens dataset portfolio.
Each NetworkLens dataset is optimized to:
- Feed AI and machine learning models with rich behavioral context – unsampled, full-fidelity metadata replacing legacy logs and NetFlow records
- Power advanced cyber threat hunting and anomaly detection
- Detect and track nation-state threat actors and advanced persistent threats operating across large-scale network infrastructure
- Integrate seamlessly into large security data lakes and analytics pipelines
Rather than raw traffic or limited telemetry, NetworkLens delivers network intelligence datasets engineered for automation, scale, and real-time analysis.
Enabling the Next Generation of Cyber Defense
NetworkLens datasets are built to meet the performance, fidelity, and scale demands of:
- AI-powered cyber threat hunting platforms
- National defense and critical infrastructure protection operations
- Telecom security operations centers
- Hyperscale analytics and security environments
By delivering continuously updated, structured network intelligence at scale, NetworkLens accelerates threat detection, improves behavioral visibility, and strengthens cyber resilience across critical infrastructures.
Availability
NetQuest NetworkLens datasets are available immediately as part of the NetQuest Streaming Network Sensor platform and integrate directly with leading cyber threat hunting and analytics environments. Contact NetQuest at [email protected] or visit www.netquestcorp.com/networklens to request a solution brief or schedule a technical demonstration.
About NetQuest
NetQuest delivers real-time network intelligence solutions trusted by national defense agencies, intelligence organizations, and global telecommunications providers. With more than two decades of deployment experience defending the world’s largest and most demanding network environments, NetQuest’s Streaming Network Sensor platform generates structured metadata at carrier scale – purpose-built for AI-driven security analytics and advanced cyber threat hunting.