Published onFebruary 10, 2026• 8 min readReducing False Positives Without Increasing Fraud: The ML Balancing Actfraud-detectionfalse-positivesmachine-learningpaymentsrisk-managementaitransaction-monitoringReduce false positives by 40-50% while maintaining fraud catch rates, starting this quarter
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 5, 2026• 12 min readFraud Retraining for Cross Border Expansionfraudfraud-detectioncross-border-paymentspaymentsrisk-opsrisk-managementaimachine-learningStop losing margin to fraud drift and retrain by corridor and rail, without ripping out your stack, in the first 60 days.
Published onDecember 31, 2025• 10 min readSanctions Screening 2.0: Using AI to Go Beyond Exact Match Searchsanctionsamlcompliancerisk-managementpaymentsaimachine-learningCut sanctions false positives by up to 60%, without missing real threats, in 30 days.
Published onDecember 30, 2025• 10 min readStop Losing Users to Manual KYC: Cut Compliance Costs 40% Without an ML Teamkyccomplianceaimachine-learningonboardingrisk-managementfintechpaymentsManual verification queues kill conversion and scale compliance headcount linearly. Adaptive ML systems approve low-risk users in minutes while giving high-risk cases the scrutiny they need.