Investigation Dashboard

Cross-rail correlation overview — 250 entities · 8,331 transactions

Total Customers
0
Transactions (30d)
0
Exchange Exposed
0
High-Risk Entities
0
Networks Detected
0

Risk Score Distribution

Exchange Exposure

Silo vs Cross-Rail

Silo-only alerts
320
Cross-rail alerts
100
False positives avoided
220

Cross-rail correlation reduces noise by 69% while surfacing hidden rings invisible to silo systems.

High-Risk Alerts Over Time

Top 15 Risky Entities

Customer IDNameSegmentRisk ScoreExchange Exp.Network SizeLast Activity
C-1007Tobias BergerRetail100HIGHYes14231 Jan, 02:33
C-1008Lisa HoferStudent100HIGHYes14226 Jan, 01:25
C-1014Julia HuberStudent100HIGHYes14226 Jan, 23:56
C-1018Helena BauerAffluent100HIGHYes14229 Jan, 12:11
C-1026Helena PichlerRetail100HIGHYes14202 Feb, 02:40
C-1027Laura MaierRetail100HIGHYes14230 Jan, 09:03
C-1029Tobias LeitnerSME100HIGHYes14201 Feb, 02:49
C-1033Lisa WolfSME100HIGHYes14229 Jan, 11:00
C-1035Eva EderRetail100HIGHYes14226 Jan, 10:22
C-1038Felix SchwarzSME100HIGHYes14227 Jan, 07:58
C-1043Sarah NeumannAffluent100HIGHYes14230 Jan, 22:00
C-1044Michael MaierStudent100HIGHYes14231 Jan, 01:31
C-1053Michael SchneiderRetail100HIGHYes14229 Jan, 13:53
C-1057Valentina LangRetail100HIGHYes14225 Jan, 21:06
C-1062Tobias BachmannAffluent100HIGHYes14227 Jan, 14:49