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#fraud-prevention

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IP9922h ago · 5 min read

Score Zero Has Two Meanings: Branch on evidence_state First

If your antifraud rule treats every risk.score == 0 as "clean," you will misread two very different situations the same way. On IP99 by ThreatHunter, score zero can mean never seen (evidence_state: no

ip99.hashnode.dev

Marc NewsteadOct 26 · 4 min read

Building Systems That Won't Be Fooled: A Developer's Guide to AI-Orchestrated Deception

The Problem We're Not Architecting For We've spent years hardening our systems against SQL injection, XSS, and CSRF. We've built robust authentication flows, implemented rate limiting, and deployed WA

icentric-ai-and-automation.hashnode.dev

Marc NewsteadSep 28 · 5 min read

Your Bot Detection Is Breaking Agentic Commerce (And You Won't Know Until It's Too Late)

The Problem Nobody's Monitoring If you're running fraud detection on an e-commerce platform, you've probably tuned your bot management rules to block credential stuffing, inventory hoarding, and scrap

1 icentric-ai-and-automation.hashnode.dev

KanikaJul 21 · 7 min read

The Digital Identity You Trust Most Could Be a Fake-Until Deepfake Detection KYC Verifies Its Authenticity

What if a perfect selfie, a valid-looking government ID, and a flawless verification video still weren't enough to prove someone's identity? This is becoming a growing challenge as AI-powered identity

ai-threat-intelligence.hashnode.dev

James KYC researcherJul 14 · 12 min read

Passive Liveness Detection in 2026: OZ Liveness vs FaceTec vs iDenfy – A Developer's Comparison

Last updated: July 2026 | Reading time: 8 minutes When I started mapping the liveness detection space, I expected the main differences to be about accuracy. They're not. The bigger split is architectu

primebiometry.hashnode.dev

Onkar MayekarJul 1 · 10 min read

The Ambulance That Cried Wolf.

On the afternoon of 14 August 2003, the largest blackout in North American history began with a software bug in an alarm system in Ohio. The Firstenergy control room had been receiving alarms all morn

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VerafyeMay 25 · 6 min read

3 signs you might be a high target for fraudsters

A fraud head at a regional bank once told me something that stuck: "We caught it on day 47. The account had been clean for 46 days." He wasn't talking about a hacked account or a phishing victim. He w

verafye.hashnode.dev

Edith HerouxMay 4 · 7 min read

Fraud Prevention Automation Case Study: 65% False Positive Reduction

When I joined the fraud operations team at a mid-sized retail bank processing 15 million transactions monthly, we were drowning. Our transaction monitoring system generated 12,000 alerts weekly, requiring manual analyst review for each one. With a te...

technicalaime.hashnode.dev

Jamie DornanMay 4 · 6 min read

Implementing Fraud Prevention Automation: A Practical Guide

Transforming fraud operations through automation can feel overwhelming, especially when you're starting from a position where analysts manually review every alert and case management happens in spreadsheets. Having led multiple implementations across...

techworldai.hashnode.dev

Cheryl D MahaffeyMay 4 · 5 min read

Understanding Fraud Prevention Automation in Modern Retail Banking

The retail banking landscape faces an unprecedented surge in sophisticated fraud schemes, from synthetic identity fraud to account takeover attempts that bypass traditional security controls. As institutions like JPMorgan Chase and Bank of America pr...

technoai.hashnode.dev

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