SEON

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has quietly become one of the most contested layers in the digital economy – yet most solutions are still built on outdated assumptions.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 …

TLDR Personally Identifiable Information (PII) is the most common reason fraud and AML teams stall on AI adoption, but analysts are already pasting risk signals into ChatGPT and Claude with no audit trail SEON’s MCP server replaces that workaround with a permissioned, logged connection that inherits your existing SEON role permissions SEON provides the governed …

Choosing a fraud detection tool for a marketplace is not the same decision as choosing one for a standard eCommerce business. The fraud surface is structurally different, detection requirements span two sides of the platform, and most tools on the market were built with neither in mind. This guide covers what to look for, what …

A standard digital commerce merchant typically has one main payment problem, and that’s stopping fraudulent buyers at checkout. A marketplace, however, has two. When a platform connects thousands of sellers with millions of buyers, fraud can enter from both directions simultaneously, and most payment fraud tools are built to catch only one of them. The …

International expansion tends to surface a problem that most brands don’t anticipate: the fraud tools that protected their domestic business start misreading customers the moment cross?border order volume picks up. Chargebacks climb, manual review queues grow and approval rates drop in the very regions expected to drive growth. The increase in fraud is only part …

For the past two years, organizations have raced to integrate generative models and machine learning capabilities into their environments, driven by the promise of unprecedented operational efficiency. Many B2B tech leaders now find themselves staring at sophisticated algorithms that process information without actively moving the needle on revenue or decision speed. The experimentation phase has …

Most organizations are thinking about AI in fraud prevention the wrong way: they treat it as a magic black box that will somehow absorb messy data, spit out a risk score and make their problems disappear. In reality, this mindset creates new risks, because opaque models without clear and cohesive explanations are almost impossible to …

Most digital commerce brands watch their chargeback rates closely, and they must — card networks set thresholds, processors enforce consequences and the dispute management process consumes real operational time. For example, under Visa’s updated Acquirer Monitoring Program (VAMP), merchants exceeding a 0.9% dispute ratio face fines, mandatory remediation plans and, in unresolved cases, the risk …

Most digital commerce brands watch their chargeback rates closely, and they must — card networks set thresholds, processors enforce consequences and the dispute management process consumes real operational time. For example, under Visa’s updated Acquirer Monitoring Program (VAMP), merchants exceeding a 0.9% dispute ratio face fines, mandatory remediation plans and, in unresolved cases, the risk …