Published onFebruary 9, 2026• 7 min readHow Graph ML Uncovers Fraud Networks Your Rules Will Never Catchfraud-detectionmachine-learningnetwork-analysispaymentsairisk-managementrisk-opsDetect the fraud networks hiding in your transaction data, without rebuilding your stack, in 60 days
Published onJanuary 26, 2026• 5 min readHow to Get 30% More Value From Your ISO 20022 Setupiso-20022payments-infrastructurecross-border-paymentscompliance-automationstraight-through-processingfraud-detectionreconciliation-automationExtract 25-30% more operational value from your ISO 20022 migration without rebuilding
Published onJanuary 23, 2026• 11 min readHow Graph Neural Networks Detect Synthetic Identity Fraud Ringsfraud-detectionsynthetic-identity-fraudfraud-preventioncross-border-paymentsaccount-openingfraud-ringspaymentsCatch coordinated attacks at account opening, before the first withdrawal costs you $500K+
Published onJanuary 14, 2026• 13 min readThe $2.8B Problem: How ML Stops Business Email Compromise Before Wire Transfers Executebusiness-email-compromisebecwire-fraudmlfraud-detectionaccounts-payablepaymentsStop $286K wire fraud before payments execute. ML invoice verification catches business email compromise attacks that traditional security misses. Act today.
Published onJanuary 8, 2026• 9 min readCold Start Fraud Detection: Deploy ML With Limited Historical Datafraud-detectionmachine-learningcold-starttransfer-learningpaymentsfintechStop waiting for fraud data and deploy ML with 50 events to achieve 70% accuracy in Q1.