Find Fraud in CDR Streams Before Billing Closes
Your fraud engine scores data that's already hours old. Expanso validates CDR integrity and flags anomalies at the edge, before corrupted records reach your detection stack.
No rip-and-replace. Works alongside your existing fraud engine and SIEM.
Fraud detection starts with data quality, and most operators get that wrong
Your fraud engine is only as good as the CDRs it scores. When those records arrive late, duplicated, or missing context, every detection model degrades.
Your fraud engine scores data that's already hours old
CDRs arrive in batches. By the time your fraud system processes them, SIM box operators have already rotated numbers and roaming abusers have moved to a different network. The detection window closes before you even open it.
Duplicate CDRs inflate false positive rates
5-15% of CDRs are duplicates. Each one triggers a fraud score recalculation that adds noise, wastes analyst time, and erodes confidence in alerts.
Signaling and CDR data arrive out of sync
When SS7 events and CDRs don't correlate in time, your fraud model can't distinguish SIM box traffic from legitimate international calls.
SIEM costs scale with noise, not threats
Every CDR gets ingested and indexed whether it's useful or not. Your Splunk bill grows with your network, but the signal-to-noise ratio stays flat.
Losses surface after the billing cycle closes
By the time batch fraud detection flags a SIM box cluster, the revenue has already been settled. Interconnect disputes start weeks later.
Fraud signal integrity, enforced at the edge
Expanso validates CDR integrity, deduplicates records, and correlates signaling data before it leaves the network edge. Your fraud engine receives clean, time-consistent inputs from the start.
Validate CDR integrity and deduplicate at the source
Expanso catches schema drift, removes duplicate records, and verifies CDR completeness at the collection point. Your fraud engine only scores records that pass validation.
Flag anomalous traffic patterns before they reach scoring
SIM box traffic has distinct signatures: short calls, rapid number cycling, concentrated cell towers. Expanso flags these patterns at the edge in milliseconds, not after a batch cycle completes.
Correlate CDRs with signaling data at the collection point
SS7 and Diameter events get paired with CDRs before they leave the edge. Your fraud engine receives pre-correlated records instead of spending cycles joining data from different pipelines.
European O-RAN Deployment
3,847 cell sites. 8 TB/hr of telemetry. $847K/mo in observability costs.
A European carrier's fraud detection ran on CDR batches that arrived 4-6 hours late. Duplicate records inflated false positive rates, and signaling data reached the SIEM disconnected from its CDR context. Investigation cycles averaged 23 minutes per alert.
Expanso deployed at the edge across all 3,847 sites in 14 weeks. CDR validation and deduplication now happen before data enters the backhaul, and fraud signals arrive pre-correlated.
Read the full case study"We already have fraud analytics."
You do. And Expanso doesn't replace any of it. It doesn't touch your scoring models, your billing mediation, or your SIEM rules.
What it does is ensure every CDR that reaches your fraud engine is complete, deduplicated, and time-consistent. When your models operate on clean inputs, false positives drop, detection windows shrink, and your analysts spend time investigating real threats instead of chasing data artifacts.
Built for telecom fraud operations
Vendor-agnostic CDR validation
Normalizes CDR formats across all switch vendors. One validation standard, no custom integration code per source.
Pre-billing fraud signals
Anomalies surface before the billing cycle completes. SIM box patterns, roaming abuse, and interconnect fraud get flagged while there's still time to act.
No disruption to billing or mediation
Expanso sits between your data sources and your fraud tools. Billing, mediation, and SIEM stay exactly as they are.
Scales from pilot to national
Start with a regional pilot, expand to nationwide. Same architecture, same policies. Typical pilots take 3 weeks, full rollouts complete in 14.
Stop discovering fraud after the billing cycle closes
Move fraud detection from hours to milliseconds.