Lattice
Lattice is built for teams that need better visibility into network behavior. It can ingest traffic from a switch SPAN port at high throughput, analyze every packet, surface unusual activity quickly, and improve its anomaly detection as it learns more about how your environment normally behaves.
Packet-level AI analytics and anomaly detection for networks that need real visibility.
Lattice is Subterra’s network monitoring system for teams that need packet-level anomaly detection, AI analytics, and clearer visibility into what is happening across their network.
Real-time network intelligence that collects mirrored switch traffic, analyzes every packet flowing through the monitored path, and uses AI-driven anomaly detection to surface suspicious behavior, unusual connections, and operational risk.
Use cases
- Enterprise network anomaly detection
- Small business network visibility
- Packet-level traffic analysis
- Suspicious connection detection
Features
High-throughput packet capture
Collect mirrored traffic from a SPAN port and inspect network flow at speeds up to 10 Gbps so operators can see what is actually crossing the switch.
AI anomaly detection
Analyze every packet and identify unusual behavior, suspicious connections, and emerging issues before they turn into larger incidents.
Adaptive network learning
Build a stronger baseline over time as the system observes more of the network, giving teams better context about what looks normal and what does not.
Frequently asked questions
What problem does Lattice solve? +
It helps teams understand what is actually moving across the network when traffic volume, alert fatigue, and fragmented tools make suspicious activity hard to spot.
What kind of traffic can Lattice inspect? +
Lattice can collect mirrored traffic from a switch SPAN port and inspect packet flow at high throughput, including deployments up to 10 Gbps, so teams can analyze what is traversing the network in near real time.
How does the system improve over time? +
Lattice uses AI analytics and anomaly detection that become more useful as the platform sees more of the environment, helping it learn normal behavior, highlight suspicious deviations, and give operators better context.
Ready to get started?
We can help you evaluate fit, plan rollout, and get to production.
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