Fraud Prevention

Hiring fraud used to be the employer’s problem. That assumption no longer holds. As applicant tracking system (ATS) platforms process millions of candidate profiles on behalf of thousands of employers, fraudsters have shifted focus, and the platforms that run these workflows have become the primary attack surface. Applicant tracking system fraud occurs when malicious actors …

A fraud leader at a Buy Now, Pay Later (BNPL) company spent two years building a program around a well-understood risk profile: synthetic identities at onboarding and installment abuse downstream. The team settled and the metrics looked clean.  Then the product team shipped a spending wallet and cross-border payouts. The fraud stack and the coverage …

Bonus and promo abuse accounts for 23% of reported betting and gaming fraud losses. Add the 18% attributed to loyalty program abuse and the combined figure reaches 41% — the single largest fraud category in the sector. Most operators carrying the heaviest losses are also the ones with the healthiest retention KPIs.  That’s not a …

Reviewing transactions has always required human judgment, but as payment volumes scale and fraud patterns grow more sophisticated, manual processes alone cannot keep pace. A fraud analyst working a queue cannot simultaneously track behavioral drift across thousands of accounts, correlate signals from onboarding through payout or act on a velocity spike before the window closes. …

A seller gets banned from a peer-to-peer marketplace for shipping counterfeit goods. Within 48 hours, they’ve registered a new account using a different email address, a prepaid debit card and a slight variation on their business name. The reviews are gone, but the operation is intact. They list the same products, resume shipping and start …

The 2026 FIFA World Cup is the largest single-event betting window the industry has ever faced. Thirty-nine days, 104 matches, three host countries, multiple overlapping time zones — and an industry whose fraud defenses are still organized around the wrong threat. The tournament window is open. Operators who spent the past months hardening their front …

Identity verification (IDV) has quietly become one of the most contested layers in the digital economy – yet most solutions are still built on outdated assumptions. Global digital identity spending is projected to swell from $44 billion in 2025 to $132 billion by 2031, propelled by the rapid digitalization of finance, gaming and retail. Despite …

Most fraud strategies fail before a fraudster is ever detected, because they evaluate documents, rather than people. Consider the operational reality: a customer signs up for a fintech service. Their government-issued ID clears every document check. Their selfie matches. Their name passes the database lookup. Onboarding completes.  What no one detected was that the identity …

Agentic AI is redrawing how fraud operates across entire markets. Over the next year, leaders will contend with agentic attacks powered by AI, instant settlement rails that compress decision windows and a regulatory environment that treats similar risks very differently across adjacent products, such as sportsbooks and prediction markets.?? Taken together, these dynamics will reward …

Most fraud tool evaluations start and end with detection accuracy. That’s a reasonable instinct, but it skips the questions that determine whether a tool still works for your business 12 months from now. Even as per?order fraud rates fell from 3.3% to 3.0% last year, global ecommerce fraud losses are still projected to reach $131 …

The 2026 FIFA World Cup will be the biggest single-event betting surge most platforms have ever handled. In the U.S. alone, more than half of Americans (56%) plan to watch the matches, and 43% say they’re at least somewhat likely to place a bet. That volume alone would strain fraud and compliance operations, but the …

Scan an ID. Capture a selfie. Maybe ask for proof of address. Check a box. For years, this workflow has been the backbone of digital identity verification, designed to answer two questions: Is the ID genuine? Is the person presenting it who they claim to be? To be fair, these are still important questions, but …

TLDR: Your daily morning spot-check, covering volume trends, decline health and edge cases, can be replaced by a structured AI briefing that compares against statistical baselines and automatically triggers conditional network checks. A good briefing needs three capabilities: dynamic baselines, proportional volume analysis and conditional escalation. This article covers what separates useful intelligence from a …

TLDR: Connect your AI tool, run test queries against data you already know and replace one manual workflow; that’s what you can do in the first week Early friction is normal: queries run slower while AI learns your schema, vague questions return vague results and some patterns won’t hold up against your dashboard Treat first-week …

TLDR Skills give AI a repeatable process and projects give it memory of your fraud and AML operations A project is a persistent workspace where your AI tool accumulates context about your scoring model, rule logic, vendor stack and the environmental quirks that no documentation captures When a skill runs inside a project, it inherits …