A False Decline Costs More Than Fraud: Vladyslav Kolodistyi on the AI Fraud Detection Math That Hurts
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Every fraud detection vendor sells against fraud loss. The pitch is straightforward: buy the detection layer, catch more fraud, save the fraud loss line in the P&L. Vladyslav Kolodistyi from PayAdmit argues this is exactly the wrong way to evaluate fraud detection. The mathematical reality is that false declines from an overzealous fraud detection model destroy more payment revenue than the fraud those same AI models catch. The industry has quietly benefited from this asymmetry for a decade…
1Key Takeaways
- Every fraud detection vendor sells against fraud loss.
- The pitch is straightforward: buy the detection layer, catch more fraud, save the fraud loss line in the P&L.
- Vladyslav Kolodistyi from PayAdmit argues this is exactly the wrong way to evaluate fraud detection.
- The mathematical reality is that false declines from an overzealous fraud detection model destroy more payment revenue than the fraud those same AI models catch.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — AI reports that every fraud detection vendor sells against fraud loss.
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