Newest Analysis
AI-Generated Identity Fraud in Banking: Why KYC Must Become a Lifecycle Control
A practical guide to deepfake IDs, synthetic documents, digital onboarding risk, liveness checks, mule accounts, and KYC controls that continue after account opening.
Resource Spotlight
Turn scam patterns into signals your team can review.
The APP Fraud Risk Signal Checklist organizes sender behavior, recipient and mule indicators, scam story cues, payment journey controls, and case intake questions into one practical reference page.
Explore by Topic
Focused analysis for the fraud and banking risk problems readers are searching for.
Banking Fraud and Payment Scams
APP fraud, bank scam tactics, mule accounts, synthetic identity, account takeover, and payment-risk controls.
AI in Banking Risk
How synthetic media changes scams, and how banks respond with real-time detection and behavioral analytics.
Fraud Analytics and Detection
Event-driven systems, graph analytics, instant-payment decisioning, and practical fraud operations.
Recommended Fraud & AI Risk Guides
Curated reads for banking fraud, AI risk, and financial crime analytics.
Money Mule DetectionReceiver-side risk signals, rapid funds-out, graph analytics, AML handoffs, and mule account KPIs.
Fraud Analytics KPIsLoss, exposure, false positives, customer friction, APP scams, mule risk, and AI model governance.
Authorized Push Payment FraudWhy banks struggle when the real customer authorizes the payment.
APP Fraud Risk Signal ChecklistSender behavior, recipient risk, mule indicators, and case intake questions.
AI vs. AI in Banking FraudHow scam automation changes instant-payment defense.
FedNow Fraud DetectionReal-time controls, thresholds, and instant-payment risk signals.
FedNow Network Intelligence APIReceiver-level risk data and what it changes for bank teams.
Bank Scam PreventionA field guide for fraud analysts and scam-intervention teams.
Graph Analytics for ATO FraudAccount takeover as a network problem, not a single-login event.
Synthetic Identity FraudSignals financial institutions can monitor across identity and account behavior.
AI in Fraud DetectionHow U.S. financial institutions use AI, behavioral analytics, explainability, and governance to combat fraud.
Account Takeover FraudPrevention strategies for credential abuse, suspicious sessions, device shifts, and payment initiation risk.
First-Party FraudHow banks can think about hidden customer-originated fraud, abuse patterns, and controls.
AI Voice Cloning ScamsWhy synthetic voice scams defeat trust cues and pressure families into urgent financial decisions.
Why EdEconomy
Clear financial crime analysis without vendor noise.
Financial crime is now a product, data, policy, customer-experience, and technology problem. EdEconomy connects those pieces in a practical way for analysts, banking teams, payments professionals, and careful readers.
