Overview
Selector’s App-to-Network Mapping capability replaces that manual effort with a continuous enrichment pipeline. Each flow record is normalized, resolved to a known device or client, and joined against existing sources of truth — IPAM/DNS, CMDB/APM, identity, and network topology — to attach application identity, ownership, environment, and criticality directly to the flow. Where a single source can’t resolve a client or application with certainty, Selector aggregates signals across multiple corroborating sources and surfaces a confidence score, so operators always know how much to trust a given mapping rather than treating every result as a binary fact.
Why 5-tuple alone isn’t enough
No app identity
Which service does this traffic belong to?
No ownership
Which team or business unit is responsible?
No criticality
Is this production, dev, or test?
No path visibility
NAT translation, load balancers, and VIPs can obscure the real source, destination, and route traffic actually takes.
Selector resolves these automatically — including translating NAT’d addresses back to their real source and destination zones — at the speed and scale manual mapping can’t match.
The enrichment pipeline
Selector enriches every flow record through a structured pipeline:
Ingest
Collect raw 5-tuple flow data (NetFlow, sFlow, IPFIX, firewall logs) from across the environment via multi-source ingestion, alongside the underlying infrastructure data (routing, switches/VLANs, load balancers) needed to interpret it.
Normalize & Resolve
Standardize formats automatically across sources, then apply smart entity resolution to identify the actual devices, clients, and endpoints behind each address — including resolving NAT’d and translated IPs back to real source/destination zones.
Apply Contextual Linkages
Join the resolved flow against existing systems of record through enterprise joins: IPAM/DNS for hostname resolution, CMDB/APM for application context, and network topology for path and zone information.
Enrich
Tag each flow with deep metadata — application, owner, environment, and risk/criticality — and generate ML-derived features that prepare the record for downstream AIOps use. Where multiple data sources offer a corroborating but imperfect signal, Selector aggregates across them and assigns a prediction/confidence score to the resulting application or client match, rather than forcing a single brittle source of truth.
Activate
Deliver AIOps-ready, enriched context (flow ID, application, owner, environment, risk) to power baselining, correlation, and alerting, and make it queryable through dashboards, a visual query builder, or natural language.
Built on the systems you already run
A complete operational picture for every flow
Mapping that keeps up with the network
Build a stronger foundation for operations
See how Selector’s App-to-Network Mapping helps teams replace “what IP is this?” guesswork with a complete, business-aware view of every flow in the environment.