NetFlow / IPFIX
Use detailed flow relationships for capacity, application and source-destination analysis.
EVENT VALIDATION
Network Anomaly Detection
Turn meaningful traffic deviations into evidence-rich operational events.
OPERATIONAL PURPOSE
Move from a network signal to verified context.
Record every anomaly with status, time, direction, target IP, subnet group, trigger and peak Mbps/PPS values.
Investigation workflow
Begin with the global condition, narrow the scope by direction and subnet, identify the responsible source and destination relationship, and compare the result with historical behavior before taking action.
CORE CAPABILITIESACTIVE
- Traffic baseline and threshold monitoring
- Inbound and outbound event context
- Peak Mbps and PPS evidence
- Target IP and subnet association
- Active and resolved event timelines
SHARED DATA CONTEXT
Built to work with the complete Flowtrion platform.
This module uses the same inventory and telemetry model as realtime analytics, security controls, historical reporting and BGP operations.
sFlow
Maintain scalable traffic and PPS visibility across high-speed, high-port-count environments.
SPAN / Port Mirroring
Add focused packet-copy visibility for critical services, VLANs and investigation points.
OPERATIONAL WORKFLOW
Detect meaningful deviations from normal network behavior
Static thresholds alone often miss slow changes and generate noise during planned peaks. Flowtrion combines current flow telemetry with historical behavior so teams can evaluate a deviation in its time, direction, protocol and subnet context.
Data inputs and analysis
NetFlow, IPFIX and sFlow measurements provide byte volume, packet rate, flow distribution and endpoint diversity. Historical windows supply the comparison baseline required to distinguish a recurring business pattern from a new operational or security condition.
The investigation considers rate changes, protocol mix, source and destination concentration, fan-out, fan-in and the duration of the deviation. Operators can then verify whether the signal is caused by backups, software distribution, scanning, DDoS activity or another event.
Operational outcomes
- Prioritize anomalies using scope, duration and traffic direction.
- Reduce alert fatigue by comparing signals with historical context.
- Find affected subnets and communicating endpoints.
- Preserve the evidence needed for incident review and tuning.
Deployment considerations
Allow sufficient observation time for representative weekday, weekend and maintenance traffic. Baselines should be reviewed after routing, capacity or application changes rather than treated as permanent constants.
Anomaly results become more useful when correlated with top talkers, DNS activity, SMTP behavior, spoofing checks and BGP routing context.