Fraud Operations Dashboard: Daily Metrics and a Free Template
Explore a fraud operations dashboard for workload, queue aging, throughput and SLOs. Test the interactive preview and download the free HTML template.
Category Fraud Analytics & Risk Controls
Fraud analytics, real-time detection, graph analytics, KPIs, risk controls, model monitoring, and fraud operations measurement.
Ghost Students, Real Money: How Banks Can Detect Federal Student Aid Fraud
FinCEN’s 2026 alert shows why federal student aid fraud is a banking problem. This guide explains the ACH, account, device, mule, and graph signals financial institutions can use.
Section 314(b) Fraud Information Sharing: A Practical Guide for Banks
FinCEN's 2026 guidance clarifies how banks can use Section 314(b) information sharing for suspected fraud. This guide explains the workflow, controls, analytics, governance, and privacy considerations.
Receiver Risk Scoring in Banking: Signals, Models, and Pre-Payment Decisions
Receiver risk scoring helps banks assess whether a destination account, its transaction behavior, and its surrounding network create enough risk to change a payment decision before funds move.
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.
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.
Graph Analytics ATO Fraud: From ATLAS Research to Systems
Graph analytics ATO fraud detection models account takeover as a network problem rather than a single risky login. Traditionally, fraud systems evaluate sessions independently. However, modern attackers operate in coordinated campaigns. They reuse credentials, devices, IP addresses, and automation frameworks…
Event-Driven Fraud Detection: How Kafka and Real-Time Streaming Are Transforming Alerts
1) From Batch Reports to Real-Time Defense For years, banks relied on overnight jobs, static dashboards, and manual reviews to detect fraud. However, in an instant-payment world, by the time a batch job finishes, the fraud has often already completed.…
