Building the right fraud prevention architecture for your business

• Issue 02: Why most Fintechs fail in Vendor Selection - A 6-step process to avoid costly vendor selection mistakes that plague most fintech fraud teams.

• Issue 10: Build vs Buy: When DIYing Fraud Tech Makes Sense - Clear criteria to determine when building internal fraud tech delivers ROI versus buying vendor solutions.

• Issue 24: Selecting a fraud vendor: The critical detail most miss - The overlooked factor in vendor selection that determines whether you'll see results in months or years.

• Issue 20: The hidden reasons your "best-in-class" vendor is failing you - Why top-tier fraud vendors underperform and how to evaluate if yours is actually right for your business.

• Issue 12: Why fraud beats your KYC (and how to fix it) - Why KYC checks don't stop professional fraudsters and the 3-layer defense system that actually works.

• Issue 29: Beyond AI vs Rules: The 3-Layer Cake of Fraud Defense - How to layer AI, rules, and manual review for maximum fraud prevention effectiveness.

• Issue 06: My Zero-Cost Fraud Protection Guide for Fintech Startups - 7 essential fraud prevention steps you can implement immediately without budget or vendors.

• Issue 25: Why Your ATO Fraud Protection Is Failing - Why most ATO solutions fail and the specific features to demand from vendors.

• Issue 31: Your CEO Wants Fraud Fixed Today. Your Team Needs Months - How to manage the timeline gap between executive pressure and realistic fraud prevention implementation.

Getting your data, teams, and measurements aligned for strategic success

• Issue 03: Are you tracking these KPIs? - The essential fraud metrics every fintech must monitor to catch problems before they become disasters.

• Issue 11: 1 Hour in Excel = 3 Weeks Head Start on Fraudsters - Simple Excel techniques to detect fraud attacks 3 weeks earlier than traditional methods.

• Issue 21: Are you mislabeling credit losses as fraud? - How to accurately separate fraud from credit losses using a proven labeling framework.

• Issue 13: The 4 hidden drivers behind false positives - Why false positives persist despite your best efforts and how to systematically reduce them.

• Issue 04: The 5 ways to spot False Positives - Practical methods to identify which blocked transactions are actually good customers.

• Issue 16: This one metric predicts if your fraud team is ready to scale - The single KPI that reveals whether your fraud prevention can handle business growth.

• Issue 14: Is your fraud team actually accountable? - A KPI framework that creates real accountability and drives performance across fraud teams.

• Issue 18: Is your fraud team working backwards? - How to prioritize fraud cases for maximum ROI instead of first-in-first-out processing.

Optimizing your fraud prevention for efficiency and growth

• Issue 01: How to optimize your AI score conversion in 4 steps - A proven method to dramatically improve AI fraud score performance without changing models.

• Issue 32: STOP obsessing over accuracy, START optimizing efficiency - How focusing on speed instead of perfect accuracy leads to better fraud prevention results.

• Issue 09: Why Velocity Checks Kill Conversion (and how to fix it) - How to implement velocity checks that stop fraud without blocking legitimate customers.

• Issue 19: How to stop losing sleep over potential fraud disasters - Simple safety net rules that prevent catastrophic fraud losses while you sleep.

• Issue 17: The hidden time leaks in your fraud defense - A 6-step framework to measure and improve your fraud reaction time for maximum effectiveness.

• Issue 15: Is your fraud strategy making you more vulnerable? - Why prevention-focused strategies often backfire and when mitigation approaches work better.

• Issue 30: 240% fraud spike caught Fintechs sleeping - How first-party fraud exploded 240% in 2024 and why most fintechs are unprepared.

• Issue 27: AI Rule Showdown: How Sardine, Oscilar & Seon differ - Exclusive breakdown of how three leading fraud vendors approach AI-powered rule automation.

• Issue 08: Dark web services bypass KYC checks for $150 - Exclusive investigation into how fraudsters bypass leading KYC vendors for under $200.

• Issue 05: Claude vs. Fraud: A 3-Hour Game-Changing Test - Groundbreaking experiment showing how AI can detect fraud without training data.

• Issue 22: I asked Claude to score fraud AGAIN. Then this happened - Follow-up AI fraud detection experiments with surprising results about the future of fraud prevention.