Fraud Data Quality: Why Bad Labels Break AI Models
Bad fraud labels can weaken AI models. Learn how banks can improve dispositions, feedback loops, model governance, and fraud analytics.
Dr.ES
Dr.ES is the founder of EdEconomy and writes about economics, banking, financial risk, fraud prevention, data analytics, artificial intelligence, and digital transformation. He holds a Doctor of Business Administration with a specialization in Analytics and has more than a decade of experience in banking, risk analytics, fraud prevention, enterprise reporting, data governance, and AI-enabled analytics within large regulated financial institutions. Views are personal and informational only.
Agentic AI Fraud in Banking: How Autonomous Scam Agents Could Industrialize Financial Crime
Agentic AI fraud could move scams from fake content to automated execution. A banking guide to scam journey analytics, warning overrides, KPIs, and customer protection.
Payee Verification and Recipient Intelligence: The Missing Control in APP Fraud
Payee verification and recipient intelligence in banking: APP fraud, mule accounts, name matching, receiver risk, FedNow, ACH fraud, and fraud KPIs.
AI-Generated Identity Fraud in Banking: Why KYC Must Become a Lifecycle Control
AI-generated identity fraud in banking: deepfake IDs, synthetic documents, liveness checks, digital onboarding risk, mule accounts, KYC controls, and KPIs.
Money Mule Detection in Banking: Signals, Controls, and Analytics for Fraud Teams
Money mule detection in banking: mule account signals, rapid funds-out behavior, graph analytics, payment controls, AML handoffs, and fraud KPIs.
Fraud Analytics KPIs for Banking Teams: Measuring Risk Before Losses Become Reports
A practical guide to fraud analytics KPIs for banks, covering loss, false positives, APP scams, mule risk, instant payments, and AI model governance.
Authorized Push Payment Fraud: Why Banks Struggle to Stop APP Scams
This guide explains why banks struggle to stop authorized push payment scams and what fraud teams can do to detect manipulated intent, risky recipients, mule-account behavior, and payment journey red flags.
AI Voice Cloning Scams: When a Call Sounds Like Someone You Love
AI voice cloning scams are making family-emergency fraud more convincing. Military families can protect themselves with code words, callback rules, second-channel verification, and official emergency resources.
AI vs. AI in Banking Fraud: The 2026 Battle Over Instant Payments
AI is changing both sides of banking fraud as scammers scale deception and banks deploy real-time defenses for instant payments.
Instant Payments, Instant Fraud: How FedNow’s 2026 Network Intelligence API Changes Bank Risk
FedNow's 2026 network intelligence API gives banks receiver-level risk data as AI scams, instant payments, and reported fraud losses surge.
