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{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/digital-onboarding-tools-and-solutions/#faq-question-1651241137219","position":2,"url":"https://seon.io/resources/guides/digital-onboarding-tools-and-solutions/#faq-question-1651241137219","name":"What is onboarding in fintech?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Onboarding in fintech involves signing a new user up for the service as well as <a href=\"https://seon.io/resources/what-is-identity-verification/\" target=\"_blank\" rel=\"noreferrer noopener\">verifying their identity</a> according to local KYC and AML legislation. Fintechs do what traditional financial institutions, albeit with a much more user-centric approach. As fintech companies do handle consumers' money and can be abused for illegal activity, such as money laundering and terrorism financing, authorities expect them to conduct identity verification at the onboarding stage.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/digital-onboarding-tools-and-solutions/#faq-question-1651241147196","position":3,"url":"https://seon.io/resources/guides/digital-onboarding-tools-and-solutions/#faq-question-1651241147196","name":"How can digital onboarding be improved?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Advanced fingerprinting and footprinting can improve your digital onboarding and add more value to it. At SEON, we examine each customer's digital footprint to give you unprecedented insight into their intentions and help you assess whether they can be trusted. This means you can both prevent more cases of fraud and reduce your identity verification costs, as untrustworthy customers can be stopped from proceeding to the official KYC step.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/digital-onboarding-tools-and-solutions/#faq-question-1651241159858","position":4,"url":"https://seon.io/resources/guides/digital-onboarding-tools-and-solutions/#faq-question-1651241159858","name":"What is client onboarding in banking?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"When a bank first signs up a new customer, they need to verify who this person is, their age, and their address. A bank might also request additional documents depending on local legislation and the organizational strategy. Only once this is complete is the individual ready to trade with the bank in earnest.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/fraud-dictionary-by-seon/#article","isPartOf":{"@id":"https://seon.io/resources/guides/fraud-dictionary-by-seon/"},"author":{"name":"","@id":""},"headline":"Fraud Dictionary: Full Guide with Definitions &amp; Examples","datePublished":"2021-12-31T11:22:46+00:00","dateModified":"2024-10-01T14:54:24+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/fraud-dictionary-by-seon/"},"wordCount":1128,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/fraud-dictionary-by-seon/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2023/02/Fraud-Dictionary_-Full-Guide-with-Definitions-Examples-TN.png","inLanguage":"en-US","description":"We’ve compiled a list of fraud terms and fraud definitions in this downloadable guide."}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/complex-fraud-schemes/#article","isPartOf":{"@id":"https://seon.io/resources/guides/complex-fraud-schemes/"},"author":{"name":"SEON Team","@id":"https://seon.io/#/schema/person/00ae7367412fefa616a224ea10d8aaab"},"headline":"A Look Into the World of Complex Fraud Schemes","datePublished":"2022-01-04T16:08:03+00:00","dateModified":"2024-10-01T14:53:47+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/complex-fraud-schemes/"},"wordCount":456,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/complex-fraud-schemes/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2023/02/A-Look-Into-the-World-of-Complex-Fraud-Schemes-TN.png","inLanguage":"en-US","description":"Learn more about complex fraud schemes, how they're setup and what you can do to defend against such attacks."}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/ip-lookup-tools/#article","isPartOf":{"@id":"https://seon.io/resources/guides/ip-lookup-tools/"},"author":{"name":"Bence Jendruszak","@id":"https://seon.io/#/schema/person/5d5e811c505791d5d00756468c797f4d"},"headline":"Guide to IP Lookup Tool &amp; IP Search","datePublished":"2022-03-10T09:44:04+00:00","dateModified":"2025-12-30T15:23:09+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/ip-lookup-tools/"},"wordCount":2414,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/ip-lookup-tools/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2023/02/Guide-to-IP-Lookup-Tool-IP-Search-TN.png","inLanguage":"en-US","description":"IP Lookup tools are used for a variety of reasons including fraud detection. Learn more about it here!"}
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{"@context":"https://schema.org","@type":"Person","@id":"https://seon.io/#/schema/person/5d5e811c505791d5d00756468c797f4d","name":"Bence Jendruszak","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https://seon.io/wp-content/uploads/2025/03/cropped-Jendruszak-Bence-114_web-min-96x96.jpg","url":"https://seon.io/wp-content/uploads/2025/03/cropped-Jendruszak-Bence-114_web-min-96x96.jpg","contentUrl":"https://seon.io/wp-content/uploads/2025/03/cropped-Jendruszak-Bence-114_web-min-96x96.jpg","caption":"Bence Jendruszak"},"description":"Bence Jendruszák is the COO and Co-Founder of SEON, leading global operations and advancing its mission to make fraud prevention accessible. A Corvinus University of Budapest graduate, he co-founded SEON in 2017 after tackling fraud issues at a crypto exchange. Bence has since scaled SEON into a global leader in fraud and AML solutions, championing innovation, collaboration, and customer focus across fintech, payments, retail, and iGaming.","sameAs":["https://seon.io","https://www.linkedin.com/in/bence-jendruszak/"],"knowsAbout":["AML Compliance","Fraud Prevention","Payment Fraud","Fintech Fraud"],"jobTitle":"COO & Fraud Fighter","url":"https://seon.io/resources/author/kejbence/"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/ip-lookup-tools/#faq-question-1646747663050","position":1,"url":"https://seon.io/resources/guides/ip-lookup-tools/#faq-question-1646747663050","name":"Can I look up an IP address?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Yes. An IP address can reveal a lot about the person who connects with it, such as their geolocation, Internet Service Provider, and more. Note that VPNs and proxies are designed to spoof IP addresses, so the results might be flawed. ","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/ip-lookup-tools/#faq-question-1646747668498","position":2,"url":"https://seon.io/resources/guides/ip-lookup-tools/#faq-question-1646747668498","name":"Is IP lookup legal?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Yes. IP addresses are considered public knowledge. Any IP lookup tool that derives information from these addresses is legal and GDPR-compliant. ","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/ip-lookup-tools/#faq-question-1646747675534","position":3,"url":"https://seon.io/resources/guides/ip-lookup-tools/#faq-question-1646747675534","name":"Where does the IP lookup data come from? ","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"IP lookup data is found in ISPs' databases, public <a href=\"https://seon.io/resources/ip-blacklist/\" target=\"_blank\" rel=\"noreferrer noopener\">IP blacklists</a>, and proprietary databases. For instance, some companies create their own lists of suspicious IP addresses, which they flag by creating honeypot traps. ","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/ip-lookup-tools/#faq-question-1646753297596","position":4,"url":"https://seon.io/resources/guides/ip-lookup-tools/#faq-question-1646753297596","name":"What is an IP fraud score?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"IP fraud scores are used by SEON in fraud detection, to help us catch bad actors. We have prepared a complete <a href=\"https://seon.io/resources/ip-fraud-score/\" target=\"_blank\" rel=\"noreferrer noopener\">guide to IP fraud scoring</a> for your perusal. ","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/digital-footprint-fraud-prevention/#article","isPartOf":{"@id":"https://seon.io/resources/guides/digital-footprint-fraud-prevention/"},"author":{"name":"SEON Team","@id":"https://seon.io/#/schema/person/00ae7367412fefa616a224ea10d8aaab"},"headline":"Digital Footprint Analysis: What is It &amp; How It Works","datePublished":"2022-03-29T11:12:41+00:00","dateModified":"2025-09-23T08:52:58+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/digital-footprint-fraud-prevention/"},"wordCount":2116,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/digital-footprint-fraud-prevention/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2023/02/Digital-Footprint-Analysis_-What-is-It-How-It-Works-TN.png","inLanguage":"en-US","description":"Read our digital footprint analysis for fraud prevention findings."}
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{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/digital-footprint-fraud-prevention/#faq-question-1695635586761","position":1,"url":"https://seon.io/resources/guides/digital-footprint-fraud-prevention/#faq-question-1695635586761","name":"What’s the difference between active and passive digital footprint?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"An active digital footprint is based on a user’s active participation online, such as posting on social media or a review site. A passive digital footprint is based on the way the user behaves online, such as which websites they visit and which pages they navigate to within those sites.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/digital-footprint-fraud-prevention/#faq-question-1695635597441","position":2,"url":"https://seon.io/resources/guides/digital-footprint-fraud-prevention/#faq-question-1695635597441","name":"How to get someone’s digital footprint","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Digital footprint tools work by taking one or more data points – an email address, phone number or photograph, for example – and looking online to see where else that same data appears. You can do this using specialist websites and applications, including digital footprint analysis tools.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/digital-footprint-fraud-prevention/#faq-question-1695635611741","position":3,"url":"https://seon.io/resources/guides/digital-footprint-fraud-prevention/#faq-question-1695635611741","name":"Can digital footprints become a problem?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Colleges, employers, banks, online lenders, and various other businesses may look up an individual’s digital footprint. This means that digital footprints can become a problem for people who have visited websites that they would rather keep private. Digital footprint analysis can also be a problem in the wrong hands – for example, when a fraudster undertakes it as part of stealing someone’s identity.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/guide-to-fraud-detection-rules/#article","isPartOf":{"@id":"https://seon.io/resources/guides/guide-to-fraud-detection-rules/"},"author":{"name":"Tamas Kadar","@id":"https://seon.io/#/schema/person/d5d05fc06f6a1139fdd93eb202717405"},"headline":"Guide to Fraud Detection Rules &amp; How to Choose a Solution","datePublished":"2022-06-07T10:33:49+00:00","dateModified":"2025-11-20T17:00:34+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/guide-to-fraud-detection-rules/"},"wordCount":1767,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/guide-to-fraud-detection-rules/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2023/02/Guide-to-Fraud-Detection-Rules-How-to-Choose-\u2028a-Solution-TN.png","inLanguage":"en-US","description":"Rules-based fraud detection identifies fraud based on a set of unusual attributes."}
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{"@context":"https://schema.org","@type":"Person","@id":"https://seon.io/#/schema/person/d5d05fc06f6a1139fdd93eb202717405","name":"Tamas Kadar","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https://seon.io/wp-content/uploads/2025/03/cropped-cropped-Kadar-Tamas-887_web-min-96x96.jpg","url":"https://seon.io/wp-content/uploads/2025/03/cropped-cropped-Kadar-Tamas-887_web-min-96x96.jpg","contentUrl":"https://seon.io/wp-content/uploads/2025/03/cropped-cropped-Kadar-Tamas-887_web-min-96x96.jpg","caption":"Tamas Kadar"},"description":"Tamás Kádár is the CEO and Co-Founder of SEON, a leading fraud prevention and AML company. He launched SEON in 2017 after facing fraud issues at his own crypto exchange. With expertise in fintech, AI, and cybersecurity, he built a platform delivering enterprise-grade tools for businesses of all sizes. Under his leadership, SEON has gained global recognition. A contributor to Forbes Technology Council and HackerNoon, Kádár advocates for the democratization of real-time fraud prevention.","sameAs":["https://seon.io","https://www.linkedin.com/in/tomkadar/"],"knowsAbout":["AML Compliance","Fraud Prevention","iGaming Fraud","Fintech Fraud"],"jobTitle":"CEO & Fraud Fighter","url":"https://seon.io/resources/author/tomkadar/"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/guide-to-fraud-detection-rules/#faq-question-1653398174265","position":1,"url":"https://seon.io/resources/guides/guide-to-fraud-detection-rules/#faq-question-1653398174265","name":"Why choose a rules-based fraud prevention solution?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"All good fraud prevention solutions should offer rule-based settings. These are designed to let you automatically approve, review, or block user actions. The advantage over manual review is that you can automate fraud prevention and scale as your business processes more applications, transactions, or logins.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/guide-to-fraud-detection-rules/#faq-question-1653398210470","position":2,"url":"https://seon.io/resources/guides/guide-to-fraud-detection-rules/#faq-question-1653398210470","name":"What is the most common detection method for fraud?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"The most common fraud detection method is static rules that follow an if/then logic. For instance, if the IP address appears on a blacklist, then you should block the user from accessing your website.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/guide-to-fraud-detection-rules/#faq-question-1653398209582","position":3,"url":"https://seon.io/resources/guides/guide-to-fraud-detection-rules/#faq-question-1653398209582","name":"What type of algorithm is used for fraud detection?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Fraud prevention algorithms allow companies to recommend whether you should block or allow a user action based on a scoring system. The algorithms tend to be proprietary. However, you can manually adjust the thresholds of your risk rules to take control over the algorithms manually.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#article","isPartOf":{"@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/"},"author":{"name":"SEON Team","@id":"https://seon.io/#/schema/person/00ae7367412fefa616a224ea10d8aaab"},"headline":"Your Ultimate Guide to Chargeback Protection &amp; Prevention on Shopify","datePublished":"2022-07-11T08:02:15+00:00","dateModified":"2025-11-20T16:59:43+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/"},"wordCount":501,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2022/07/Your-Ultimate-Guide-to-Chargeback-Protection-Prevention-on-Shopify-Thumbnail.png","inLanguage":"en-US","description":"Learn more about how to handle chargebacks on Shopify."}
{"@context":"https://schema.org","@type":["WebPage","FAQPage"],"@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/","url":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/","name":"Guide to Chargeback Protection & Prevention on Shopify | SEON","isPartOf":{"@id":"https://seon.io/#website"},"image":{"@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2022/07/Your-Ultimate-Guide-to-Chargeback-Protection-Prevention-on-Shopify-Thumbnail.png","datePublished":"2022-07-11T08:02:15+00:00","dateModified":"2025-11-20T16:59:43+00:00","description":"Stop Shopify chargebacks and protect your business. Download our free guide for expert fraud prevention tips and dispute management strategies.","mainEntity":[{"@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#faq-question-1657009711014"},{"@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#faq-question-1657009719849"},{"@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#faq-question-1657009729201"}],"inLanguage":"en-US"}
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{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#faq-question-1657009711014","position":1,"url":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#faq-question-1657009711014","name":"Does Shopify protect from chargebacks?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Shopify Pay users can activate Shopify Protect (in the US only). But there are third-party chargeback protection apps available on the Shopify App Store.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#faq-question-1657009719849","position":2,"url":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#faq-question-1657009719849","name":"What does chargeback mean on Shopify?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"A chargeback happens when a cardholder asks their bank, rather than the merchant directly, for a refund of the money they paid for an order. This can be because they don’t recognize the payment, aren’t satisfied with your service, or had their card used without authorization – to list just two examples.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#faq-question-1657009729201","position":3,"url":"https://seon.io/resources/guides/guide-to-prevent-and-handle-shopify-chargebacks/#faq-question-1657009729201","name":"How do you win a chargeback on Shopify?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"The key to winning chargeback disputes on Shopify is to be always collecting as much data as possible about each transaction, customer, and shipping process. You might need to present evidence such as their IP address, social media profiles, or your email communications to win a dispute, too.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/frictionless-authentication/#article","isPartOf":{"@id":"https://seon.io/resources/guides/frictionless-authentication/"},"author":{"name":"SEON Team","@id":"https://seon.io/#/schema/person/00ae7367412fefa616a224ea10d8aaab"},"headline":"Frictionless Authentication: Definition, Examples &amp; How to Do It Right","datePublished":"2022-08-16T09:09:00+00:00","dateModified":"2025-11-20T16:59:36+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/frictionless-authentication/"},"wordCount":1448,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/frictionless-authentication/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2023/02/Frictionless-Authentication_-Definition-Examples-How-to-Do-It-Right-TN.png","inLanguage":"en-US","description":"In many cases, frictionless authentication is possible, if you have the right tools."}
{"@context":"https://schema.org","@type":["WebPage","FAQPage"],"@id":"https://seon.io/resources/guides/frictionless-authentication/","url":"https://seon.io/resources/guides/frictionless-authentication/","name":"Frictionless Authentication: What Is It & How to Deploy | SEON","isPartOf":{"@id":"https://seon.io/#website"},"image":{"@id":"https://seon.io/resources/guides/frictionless-authentication/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2023/02/Frictionless-Authentication_-Definition-Examples-How-to-Do-It-Right-TN.png","datePublished":"2022-08-16T09:09:00+00:00","dateModified":"2025-11-20T16:59:36+00:00","description":"The goal of frictionless authentication is to allow good users or block risky users without asking for too much personal information.","mainEntity":[{"@id":"https://seon.io/resources/guides/frictionless-authentication/#faq-question-1659621590128"},{"@id":"https://seon.io/resources/guides/frictionless-authentication/#faq-question-1659621618512"},{"@id":"https://seon.io/resources/guides/frictionless-authentication/#faq-question-1659621619252"}],"inLanguage":"en-US"}
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{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/frictionless-authentication/#faq-question-1659621590128","position":1,"url":"https://seon.io/resources/guides/frictionless-authentication/#faq-question-1659621590128","name":"What is a frictionless transaction?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"A frictionless transaction is one where the customer’s journey is as smooth as possible. That means reducing obstacles in the form of security questions, 2FA, or extra authentication methods.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/frictionless-authentication/#faq-question-1659621618512","position":2,"url":"https://seon.io/resources/guides/frictionless-authentication/#faq-question-1659621618512","name":"What is frictionless login?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"A frictionless login happens near-instantly without having to receive codes via email, SMS OTP, or having to use complicated multi-factor authentication methods. Biometrics login authentication is the most frictionless method.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/frictionless-authentication/#faq-question-1659621619252","position":3,"url":"https://seon.io/resources/guides/frictionless-authentication/#faq-question-1659621619252","name":"What is frictionless 3DS2?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"3DS2, or 3-D Secure 2, is a security measure put in place by payment companies to reduce fraudulent payments. Because the earlier version of 3DS was notoriously high in friction, the second update aims to reduce it by sending more data behind the scenes, before the actual verification step.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/shopify-high-risk-orders/#article","isPartOf":{"@id":"https://seon.io/resources/guides/shopify-high-risk-orders/"},"author":{"name":"SEON Team","@id":"https://seon.io/#/schema/person/00ae7367412fefa616a224ea10d8aaab"},"headline":"How to Handle High-Risk Orders on Shopify","datePublished":"2022-09-01T08:23:58+00:00","dateModified":"2025-12-09T12:34:00+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/shopify-high-risk-orders/"},"wordCount":1507,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/shopify-high-risk-orders/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2023/02/How-to-Handle-High-Risk-Orders-on-Shopify-TN.png","keywords":["Shopify"],"inLanguage":"en-US","description":"Here’s how to handle high-risk Shopify orders without false positives."}
{"@context":"https://schema.org","@type":["WebPage","FAQPage"],"@id":"https://seon.io/resources/guides/shopify-high-risk-orders/","url":"https://seon.io/resources/guides/shopify-high-risk-orders/","name":"How to Handle High-Risk Orders on Shopify | SEON","isPartOf":{"@id":"https://seon.io/#website"},"image":{"@id":"https://seon.io/resources/guides/shopify-high-risk-orders/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2023/02/How-to-Handle-High-Risk-Orders-on-Shopify-TN.png","datePublished":"2022-09-01T08:23:58+00:00","dateModified":"2025-12-09T12:34:00+00:00","description":"High-risk Shopify orders are always a challenge for retailers. Accept them and you risk losing a sale and being hit with a chargeback.","mainEntity":[{"@id":"https://seon.io/resources/guides/shopify-high-risk-orders/#faq-question-1659111322530"},{"@id":"https://seon.io/resources/guides/shopify-high-risk-orders/#faq-question-1659111324882"},{"@id":"https://seon.io/resources/guides/shopify-high-risk-orders/#faq-question-1659111325649"}],"inLanguage":"en-US"}
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{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/shopify-high-risk-orders/#faq-question-1659111322530","position":1,"url":"https://seon.io/resources/guides/shopify-high-risk-orders/#faq-question-1659111322530","name":"Should I fulfill high-risk orders on Shopify?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Shopify lets you decide if you want to fulfill a high-risk order. You can accept it, but the reason it is marked as high-risk is that it is more likely to result in a chargeback. A chargeback is costly as you lose a sale, have to refund the money and pay administration fees on top.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/shopify-high-risk-orders/#faq-question-1659111324882","position":2,"url":"https://seon.io/resources/guides/shopify-high-risk-orders/#faq-question-1659111324882","name":"How do I automatically cancel high-risk orders on Shopify?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Shopify only lets you manually cancel high-risk orders in the dashboard. However, you can use a third-party anti-fraud app that integrates with Shopify and that can cancel all high-risk orders automatically for you.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/shopify-high-risk-orders/#faq-question-1659111325649","position":3,"url":"https://seon.io/resources/guides/shopify-high-risk-orders/#faq-question-1659111325649","name":"What should you do if you receive a high-risk order?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"If an order is classified as high risk, it means you are more likely to be issued a chargeback request. However, Shopify’s algorithm sometimes gets things wrong. You should investigate the order yourself or use a third-party anti-fraud app if you want complete peace of mind and fewer false positives. The investigation may include contacting the customer, checking their IP address, or looking up the shipping address on a map. ","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/igaming-fraud-stats/#article","isPartOf":{"@id":"https://seon.io/resources/guides/igaming-fraud-stats/"},"author":{"name":"SEON Team","@id":"https://seon.io/#/schema/person/00ae7367412fefa616a224ea10d8aaab"},"headline":"iGaming Fraud Stats in 2025","datePublished":"2023-02-22T09:42:39+00:00","dateModified":"2026-04-10T08:04:00+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/igaming-fraud-stats/"},"wordCount":99,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/igaming-fraud-stats/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2023/02/iGaming-Fraud-Stats-2025_Thumbnails.png","keywords":["Fraud Detection"],"inLanguage":"en-US","description":"We shed some light on iGaming industry fraud data to see what patterns are emerging."}
{"@context":"https://schema.org","@type":"WebPage","@id":"https://seon.io/resources/guides/igaming-fraud-stats/","url":"https://seon.io/resources/guides/igaming-fraud-stats/","name":"iGaming Fraud Stats 2025 | SEON","isPartOf":{"@id":"https://seon.io/#website"},"image":{"@id":"https://seon.io/resources/guides/igaming-fraud-stats/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2023/02/iGaming-Fraud-Stats-2025_Thumbnails.png","datePublished":"2023-02-22T09:42:39+00:00","dateModified":"2026-04-10T08:04:00+00:00","description":"What is the state of iGaming fraud, by the numbers? Who is most at risk, and what can we learn from crunching the data from our fraud detection solution?","inLanguage":"en-US"}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/fraud-trends-in-2024/#article","isPartOf":{"@id":"https://seon.io/resources/guides/fraud-trends-in-2024/"},"author":{"name":"Jonathan Pryer","@id":"https://seon.io/#/schema/person/9bb627d6651a1910392c6742203943b9"},"headline":"Fraud Trends in 2024: Volume, Types &amp; Prevention Strategies","datePublished":"2024-02-19T11:20:19+00:00","dateModified":"2025-11-20T16:59:07+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/fraud-trends-in-2024/"},"wordCount":478,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/fraud-trends-in-2024/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2024/02/SEON-Fraud-Trends-2024-Thumbnail-1.png","inLanguage":"en-US","description":"This guide, based on surveys conducted with 316 cross-industry customers and experts, maps out the evolving multifaceted nature of fraud today and outlines strategic approaches to bolster fraud prevention efforts for the near future."}
{"@context":"https://schema.org","@type":"WebPage","@id":"https://seon.io/resources/guides/fraud-trends-in-2024/","url":"https://seon.io/resources/guides/fraud-trends-in-2024/","name":"Fraud Trends in 2024: Expected Increase, Types & Costs","isPartOf":{"@id":"https://seon.io/#website"},"image":{"@id":"https://seon.io/resources/guides/fraud-trends-in-2024/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2024/02/SEON-Fraud-Trends-2024-Thumbnail-1.png","datePublished":"2024-02-19T11:20:19+00:00","dateModified":"2025-11-20T16:59:07+00:00","description":"Dive into SEON’s guide for an in-depth look at fraud rise, new threats, and how AI will be a game changer in 2024.","inLanguage":"en-US"}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/buy-vs-build-what-to-consider-when-assessing-fraud-solutions/#article","isPartOf":{"@id":"https://seon.io/resources/guides/buy-vs-build-what-to-consider-when-assessing-fraud-solutions/"},"author":{"name":"SEON Team","@id":"https://seon.io/#/schema/person/00ae7367412fefa616a224ea10d8aaab"},"headline":"Buy Vs Build: What to Consider When Assessing Fraud Solutions","datePublished":"2024-02-29T10:59:38+00:00","dateModified":"2026-04-13T16:51:51+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/buy-vs-build-what-to-consider-when-assessing-fraud-solutions/"},"wordCount":794,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/buy-vs-build-what-to-consider-when-assessing-fraud-solutions/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2024/02/Buy-Vs-Build_-What-to-Consider-When-Assessing-Fraud-Solutions-Thumbnail-1.png","inLanguage":"en-US","description":"A Comprehensive Guide to Making Informed Choices On Selecting Your Fraud Prevention Solution\n\n\n\nDid you know that 46% of businesses worldwide have faced economic crime in recent years, while cyber risk remains a top concern for CEOs? Further, 49 percent of CEOs place cyber risk at the top of their concerns for the year ahead. Those choosing to build a fraud solution often do so because they want customizable control over the build, data and costs involved. Yet off-the-shelf platforms can also cater to these needs – without requiring the significant upfront investment in research and development.\n\n\n\nUltimately, the decision to buy or build a fraud detection solution should be rooted in a combination of the following:\n\n\n\n\nAvailable resources of internal teams weighted against project priorities\n\n\n\nYour business’ specific needs\n\n\n\nAn informed long-term strategy\n\n\n\n\nAs a proactive, end-to-end anti-fraud platform, SEON offers a surefire way for companies to effectively and efficiently prevent fraud, protect their customers – and safeguard their bottom line.\n\n\n\nCommon Pitfalls of Building\n\n\n\nWhen companies opt to build their anti-fraud solution, they often face unanticipated challenges, including:\n\n\n\n\nUnderestimating complexity and resource requirements\n\n\n\nMisjudging timelines\n\n\n\nRunning over budget, straining financial resources\n\n\n\nExpertise diverted from critical business areas&nbsp;\n\n\n\n\nIn building a fraud prevention platform to address immediate fraud concerns, many fail to create systems that can adapt to evolving threats. This leads to an undesirable reliance on disparate point solutions, yielding a cumbersome or inoperable tech stack. Too narrow of a focus on current needs sets up lackluster futureproofing capacities, leaving companies with inadequate or outdated fraud protection measures. With maintenance overlooked and scaling capabilities unaccounted for, pressure mounts on development teams, hampering a company’s primary objectives to protect themselves in the first place.\n\n\n\nWeighing the Benefits\n\n\n\nGrappling with the decision to construct a fraud prevention solution from scratch or invest in a pre-existing solution requires understanding each approach's nuances. Building a bespoke platform or purchasing an end-to-end offering is not a straightforward choice, as there are many factors to weigh:\n\n\n\n\nData Privacy ConsiderationsA paramount concern for businesses that must comply across a variegated regulatory landscape, data privacy considerations sway some to build to mitigate risks and keep data in-house. However, retaining data internally does not guarantee immunity from breaches. When selecting a solution, companies should prioritize one that ensures robust data protection and aligns with international data privacy regulations, demonstrated by credentials such as SOC2 certifications.\n\n\n\nIntegration ChallengesSeamless integration with existing technology infrastructure is another crucial factor. The misconception that in-house solutions integrate more effectively can lead to overlooked challenges and complexities, including time and resource drag. An API-first solution is often more advantageous, ensuring easy and speedy integration with existing data libraries and providing immediate access to product updates without extensive code reconfiguration.\n\n\n\nThe Case for Building a Custom SolutionBusinesses often contemplate crafting a tailored anti-fraud solution, particularly when focusing on specific types of fraud, such as bot attacks or account takeovers. While there is an appeal in the potential of such systems to be built and precisely tuned to unique business needs, these custom-built solutions – adept at addressing particular fraud scenarios – frequently fall short in evolving alongside emerging threats. It also may inadvertently introduce vulnerabilities into other aspects of the customer journey, hampering business growth due to a lack of scalability and adaptability.\n\n\n\n\nAdvantages of Purchasing an End-to-End Solution\n\n\n\nIn contrast, an all-encompassing fraud solution offers holistic protection, scaling alongside a business and adapting to the shifting sophisticated tactics of fraudsters. Comprehensive fraud prevention solutions often feature customizable rules and scoring systems, providing businesses with a desired level of control and transparency tailored to their specific risk appetites. An ideal platform leverages whitebox and blackbox machine learning models, delivering the benefits of transparency, control and automated decisioning while continually refining for accuracy and accounting for expanding fraud exposure.\n\n\n\nMaking the Strategic Choice\n\n\n\nDeveloping an in-house anti-fraud solution or opting for a pre-built platform hinges on a company’s specific circumstances. With expertise a key element, risk teams and fraud departments must realistically assess their own team’s knowledge and capabilities regarding fraud detection and management. They must also consider their capacity to cultivate expertise, sustain awareness of the evolving fraud landscape, and their available bandwidth to adapt a bespoke platform to changing fraud tactics.\n\n\n\nIn essence, buying or building are both choices with their own merits. Still, the optimal choice should align with an organization’s ability to effectively and efficiently combat fraud while supporting the maturation and growth of the business. When evaluating vendors, finding a trusted partner such as SEON’s fraud prevention platform can help balance immediate operational needs with long-term goals while ensuring the right measures are in place to mitigate losses to fraud."}
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{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/full-guide-to-chargeback-protection-prevention-in-ecommerce/#faq-question-1755617867032","position":2,"url":"https://seon.io/resources/guides/full-guide-to-chargeback-protection-prevention-in-ecommerce/#faq-question-1755617867032","name":"What causes most chargebacks?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"Common causes include friendly fraud, stolen card use, unclear billing and overly generous return policies. In many cases, chargebacks are filed even when a product is delivered and legitimate.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/full-guide-to-chargeback-protection-prevention-in-ecommerce/#faq-question-1755617877915","position":3,"url":"https://seon.io/resources/guides/full-guide-to-chargeback-protection-prevention-in-ecommerce/#faq-question-1755617877915","name":"How much can chargebacks cost my business?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"More than just the refunded amount. With fees, fulfillment, labor and lost product, a single $100 chargeback can quickly balloon into a $260+ loss.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Question","@id":"https://seon.io/resources/guides/full-guide-to-chargeback-protection-prevention-in-ecommerce/#faq-question-1755617888051","position":4,"url":"https://seon.io/resources/guides/full-guide-to-chargeback-protection-prevention-in-ecommerce/#faq-question-1755617888051","name":"Can I prevent chargebacks entirely?","answerCount":1,"acceptedAnswer":{"@type":"Answer","text":"While chargebacks can't be eliminated completely, they can be dramatically <a href=\"https://seon.io/resources/comparisons/best-chargeback-management-software/\">reduced with the right tools</a>, such as fraud scoring, behavioral analytics and automated dispute handling.","inLanguage":"en-US"},"inLanguage":"en-US"}
{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/fraud-outlook-2025/#article","isPartOf":{"@id":"https://seon.io/resources/guides/fraud-outlook-2025/"},"author":{"name":"SEON Team","@id":"https://seon.io/#/schema/person/00ae7367412fefa616a224ea10d8aaab"},"headline":"Fraud Outlook 2025: Fraud &amp; Risk in the Global Payments Era","datePublished":"2025-09-19T13:37:13+00:00","dateModified":"2025-12-22T16:32:27+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/fraud-outlook-2025/"},"wordCount":356,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/fraud-outlook-2025/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2025/09/Fraud-Outlook-2025_-The-Retail-Fraud-Report_-Securing-eCommerce-Social-Thumbnail.png","inLanguage":"en-US","description":"Explore how instant payments and crypto reshape fraud risks—and how top providers protect customers in 2025."}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/datos-insights-fraud-aml-fintech-spotlight-q3-2025/#article","isPartOf":{"@id":"https://seon.io/resources/guides/datos-insights-fraud-aml-fintech-spotlight-q3-2025/"},"author":{"name":"SEON Team","@id":"https://seon.io/#/schema/person/00ae7367412fefa616a224ea10d8aaab"},"headline":"Datos Insights Fraud &amp; AML Fintech Spotlight Q3 2025","datePublished":"2025-10-14T08:13:00+00:00","dateModified":"2025-12-22T16:29:12+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/datos-insights-fraud-aml-fintech-spotlight-q3-2025/"},"wordCount":610,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/datos-insights-fraud-aml-fintech-spotlight-q3-2025/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2025/10/Datos_SEON_report.png","inLanguage":"en-US","description":"SEON’s unified platform merges fraud and AML into one adaptive system—earning a feature in Datos Insights’ Q3 2025 Fintech Spotlight."}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/black-friday-cyber-monday-fraud-trends/#article","isPartOf":{"@id":"https://seon.io/resources/guides/black-friday-cyber-monday-fraud-trends/"},"author":{"name":"Katy Chrisler","@id":"https://seon.io/#/schema/person/c0b3183e7c5621608e7ffdae218d1fd6"},"headline":"Black Friday &amp; Cyber Monday: A Data-Driven Report for eCommerce","datePublished":"2025-10-15T13:28:57+00:00","dateModified":"2025-10-16T09:41:29+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/black-friday-cyber-monday-fraud-trends/"},"wordCount":390,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/black-friday-cyber-monday-fraud-trends/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2025/10/Black-Friday-Cyber-Monday_-A-Data-Driven-Report-for-eCommerce-Guide-Thumbnail.png","inLanguage":"en-US","description":"Explore 2025 Black Friday fraud trends, from bot attacks and card testing to device anomalies and regional spikes."}
{"@context":"https://schema.org","@type":"WebPage","@id":"https://seon.io/resources/guides/black-friday-cyber-monday-fraud-trends/","url":"https://seon.io/resources/guides/black-friday-cyber-monday-fraud-trends/","name":"Black Friday & Cyber Monday 2025 Fraud Trends and Statistics","isPartOf":{"@id":"https://seon.io/#website"},"image":{"@id":"https://seon.io/resources/guides/black-friday-cyber-monday-fraud-trends/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2025/10/Black-Friday-Cyber-Monday_-A-Data-Driven-Report-for-eCommerce-Guide-Thumbnail.png","datePublished":"2025-10-15T13:28:57+00:00","dateModified":"2025-10-16T09:41:29+00:00","description":"Explore 2025 Black Friday and Cyber Monday fraud trends, including bot attacks, card testing, device anomalies, review spikes, and regional hotspots.","inLanguage":"en-US"}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/the-next-era-of-fraud-prevention/#article","isPartOf":{"@id":"https://seon.io/resources/guides/the-next-era-of-fraud-prevention/"},"author":{"name":"SEON Team","@id":"https://seon.io/#/schema/person/00ae7367412fefa616a224ea10d8aaab"},"headline":"SEON AI Perspective: The Next Era of Fraud Prevention","datePublished":"2025-11-28T12:45:33+00:00","dateModified":"2025-12-22T16:28:13+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/the-next-era-of-fraud-prevention/"},"wordCount":430,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/the-next-era-of-fraud-prevention/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2025/11/SEONs-AI-Perspective_-\u2028The-Next-Era-of-Fraud-Prevention-Thumbnail.png","inLanguage":"en-US","description":"Discover how SEON’s intelligence-led approach predicts and prevents fraud by shifting defenses upstream with adaptive AI. Download the guide."}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/seon-earns-frost-sullivans-global-recognition-in-report-for-technology-leadership/#article","isPartOf":{"@id":"https://seon.io/resources/guides/seon-earns-frost-sullivans-global-recognition-in-report-for-technology-leadership/"},"author":{"name":"Jonathan Pryer","@id":"https://seon.io/#/schema/person/9bb627d6651a1910392c6742203943b9"},"headline":"SEON Earns Frost &amp; Sullivan’s Global Recognition in Report for Technology Leadership","datePublished":"2026-01-30T13:13:44+00:00","dateModified":"2026-01-30T13:57:53+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/seon-earns-frost-sullivans-global-recognition-in-report-for-technology-leadership/"},"wordCount":450,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/seon-earns-frost-sullivans-global-recognition-in-report-for-technology-leadership/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2024/06/tn-article-11-dark.png","keywords":["Fraud Detection"],"inLanguage":"en-US","description":"Frost &amp; Sullivan awarded SEON its 2025 Global Enabling Technology Leadership Award for Fraud Detection and Prevention, selecting the company after a 12-month evaluation of innovation, customer impact and market performance across the fraud detection industry. The recognition validates what our customers already know: fighting fraud requires speed, depth and integration that legacy systems can’t deliver.\n\n\n\nSEON is solving the core challenges fraud and compliance teams face as attack methods grow more sophisticated and regulatory scrutiny intensifies. Instead of incremental improvements to outdated stacks, we offer an intelligence-led command center that turns fragmented data into real-time decisions across the entire customer lifecycle.\n\n\n\nThree Reasons SEON stands apart.\n\n\n\nFrost &amp; Sullivan’s analysis zeroes in on three differentiators where SEON separates from traditional vendors:\n\n\n\n\nData depth that mattersWhile many fraud tools analyze 20-30 signals, SEON analyzes over 900 data points across device intelligence, behavioral patterns, network links and transaction context. By processing approximately 7 billion device and biometric sessions annually, this signal library cuts false positives while catching threats other systems miss.\n\n\n\nSpeed that compoundsLegacy platforms often take months or even a year to implement, leaving teams exposed. The average time to launch and fully operationalize SEON is 14 days. Customers then benefit as models continuously learn from outcomes and improve over time. When minutes matter in stopping fraud, that speed turns compliance from a bottleneck into a competitive edge.\n\n\n\nOne platform that actually worksRather than stitching together point solutions for fraud prevention, AML compliance, case management and regulatory reporting, SEON built these capabilities into a single API-first platform. Because SEON owns and controls the full data stack, teams get traceability and auditability without the integration headaches.\n\n\n\n\n“SEON’s approach — owning the full data stack from collection through reporting and deploying AI-driven capabilities in weeks rather than months — addresses the core challenges facing fraud and compliance teams today.”Deepali Sathe, Industry Principal at Frost &amp; Sullivan.\n\n\n\nThe Numbers Back It Up\n\n\n\nBeyond technology design, Frost &amp; Sullivan points to SEON’s performance and customer loyalty as evidence that the model works in the real world. Net dollar retention above 140%, more than 5,000 customers across 30+ countries and a high share of repeat adopters who champion SEON across multiple organizations signal that the platform consistently delivers meaningful results.&nbsp;&nbsp;\n\n\n\nThe report also highlights SEON’s customer-driven innovation model, in which research teams track emerging fraud tactics while commercial teams surface customer needs, converting requests into production-ready solutions through rapid prototyping and customer feedback. Graph-based cluster detection, which identifies fraud rings operating across multiple accounts and regions, began as a specific customer request and moved from prototype to production in weeks."}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/2026-fraud-aml-leaders-report-ai-reality-check/#article","isPartOf":{"@id":"https://seon.io/resources/guides/2026-fraud-aml-leaders-report-ai-reality-check/"},"author":{"name":"Jonathan Pryer","@id":"https://seon.io/#/schema/person/9bb627d6651a1910392c6742203943b9"},"headline":"2026 Fraud &amp; AML Leaders Report: AI Reality Check","datePublished":"2026-02-25T09:14:01+00:00","dateModified":"2026-03-13T09:58:29+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/2026-fraud-aml-leaders-report-ai-reality-check/"},"wordCount":54,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/2026-fraud-aml-leaders-report-ai-reality-check/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2026/02/Fraud-Report_Resources-thumbnail.webp","inLanguage":"en-US","description":"Insights from&nbsp;1,000 global fraud, risk and compliance leaders&nbsp;tackling rising fraud volumes, stricter regulations and increasingly sophisticated AI-powered threats.\n\n\n\nThe patterns in this report give you evidence to move beyond anecdotes — and to align executives, product, engineering and risk around a shared, intelligence-led strategy."}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/global-igaming-risk-fraud-report/#article","isPartOf":{"@id":"https://seon.io/resources/guides/global-igaming-risk-fraud-report/"},"author":{"name":"Tamas Kadar","@id":"https://seon.io/#/schema/person/d5d05fc06f6a1139fdd93eb202717405"},"headline":"Global iGaming Risk &amp; Fraud Report","datePublished":"2026-03-18T10:01:01+00:00","dateModified":"2026-03-20T08:39:55+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/global-igaming-risk-fraud-report/"},"wordCount":696,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/global-igaming-risk-fraud-report/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2026/03/Global-iGaming-Risk-and-Fraud-Report-Thumbnail.png","inLanguage":"en-US","description":"Stop iGaming fraud rings with SEON’s 2026 report. Access data on AI impersonation, bonus abuse and player lifecycle intelligence."}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/2026-fraud-and-aml-leaders-retail-report/#article","isPartOf":{"@id":"https://seon.io/resources/guides/2026-fraud-and-aml-leaders-retail-report/"},"author":{"name":"Jonathan Pryer","@id":"https://seon.io/#/schema/person/9bb627d6651a1910392c6742203943b9"},"headline":"Built to Sell, Not Defend: How Retail’s Fraud Controls Are Falling Short","datePublished":"2026-03-18T13:23:44+00:00","dateModified":"2026-03-19T13:17:39+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/2026-fraud-and-aml-leaders-retail-report/"},"wordCount":656,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/2026-fraud-and-aml-leaders-retail-report/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2026/03/Fraud-Report-2026-Retail-Cut-Thumbnail.png","inLanguage":"en-US","description":"Retailers have never had more powerful tools to accelerate online growth. Today's eCommerce platforms make it remarkably easy to launch storefronts, acquire new customers and process massive transaction volumes at lightning speed.\n\n\n\nBut this exact convenience has introduced a systemic and costly vulnerability. Fraud losses increasingly outpace revenue. Currently, 62% of retail organizations rely primarily on the rudimentary fraud protections built directly into their eCommerce platforms. On the surface, these platform-native tools promise speed and simplicity. They allow retailers to deploy quickly without wrestling with complex risk infrastructure.\n\n\n\nHowever, the data reveals a striking contradiction: among retailers relying on these default controls, nearly half report that their fraud losses are growing significantly faster than their revenue. To scale securely, merchants must look beyond built-in commerce tools. Platform native engines are designed to facilitate sales and reduce friction. They fundamentally fail to defend against coordinated, AI-backed fraud ecosystems.\n\n\n\nThe Checkout Trap: Looking in the Exact Wrong Place\n\n\n\nRetailers operate under intense pressure to maintain frictionless checkouts. In eCommerce, adding even a fraction of a second of friction quickly translates into abandoned carts and lost revenue. Fraudsters understand this dynamic perfectly and exploit the tension between sales and security.\n\n\n\nThe most damaging retail fraud types do not originate at the point of payment. They begin much earlier in the customer journey, hiding within routine account activity, login behaviors and promotional usage. By the time these sophisticated attacks surface as disputed transactions or chargebacks, the underlying compromise is already complete.\n\n\n\n\nAccount Takeover (26% of losses): Attackers bypass weak authentication to hijack legitimate, trusted profiles — often weeks before those accounts are ever weaponized for fraudulent purchases.\n\n\n\nPromotion Abuse (18% of losses): Bad actors orchestrate automated networks of synthetic identities to systematically drain new-customer marketing budgets and loyalty rewards at scale.\n\n\n\n\nBecause platform-native tools focus almost exclusively on transaction-level signals at the moment of checkout, they have virtually no visibility into these highly damaging account-level anomalies. They are looking in the exact wrong place, trapping retailers in a costly cycle of playing catch-up.\n\n\n\nThe AI and Headcount Paradox\n\n\n\nUnlike the financial sector’s highly centralized risk teams, retail fraud responsibility is deeply fractured. Ownership is often split across eCommerce, payments, customer operations and finance departments. These siloed teams juggle conflicting priorities and operate with incomplete visibility, making cross-functional coordination incredibly difficult.\n\n\n\nTo bridge this operational gap, the retail sector has fully embraced automation —97% of retail organizations actively use AI in their fraud workflows. Yet, ironically, the fraud function is expanding rather than shrinking. An identical 97% plan to increase fraud headcount this year, with nearly 60% preparing to add three or more full-time risk professionals.\n\n\n\nWhy is automation driving headcount? Because effective AI surfaces subtle behavioral outliers and cross-channel patterns that manual reviews would never catch. However, when these advanced signals are generated within disconnected point solutions, they trigger complex, time-consuming investigations. Without a unified data architecture, adding AI simply increases the demand for skilled analysts to interpret what the models find.\n\n\n\nWhat You Will Discover in the 2026 Report\n\n\n\nClosing the detection gap requires moving defenses upstream and treating automation as a capability multiplier, not just an alert generator. The 2026 Retail Fraud Guide explores how 330 leading merchants are mastering AI adoption and scaling securely without compromising the customer experience.\n\n\n\nDownload this comprehensive report to learn about how to:\n\n\n\n\nExpand the FrameShift detection upstream to account creation, login behavior and device intelligence to neutralize fraud long before a transaction occurs.\n\n\n\nMeasure the Right ThingLook beyond standard chargeback rates to identify behavioral anomalies, promotion usage patterns and genuine account-level exposure.\n\n\n\nTreat AI as a MultiplierBuild your machine learning models on a unified view of the entire customer lifecycle, ensuring automation builds long-term capability rather than acting as a standalone feature.\n\n\n\nAlign Cross-Functional Teams: Break down internal data silos between eCommerce, payments and risk teams to execute a cohesive, lifecycle-wide defense strategy."}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/betting-gaming-fraud-guide-2026-scaling-fraud-losses/#article","isPartOf":{"@id":"https://seon.io/resources/guides/betting-gaming-fraud-guide-2026-scaling-fraud-losses/"},"author":{"name":"Jonathan Pryer","@id":"https://seon.io/#/schema/person/9bb627d6651a1910392c6742203943b9"},"headline":"How Betting &amp; Gaming&#8217;s Fraud Losses Are Outpacing Revenue","datePublished":"2026-03-26T14:23:24+00:00","dateModified":"2026-03-26T16:46:52+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/betting-gaming-fraud-guide-2026-scaling-fraud-losses/"},"wordCount":658,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/betting-gaming-fraud-guide-2026-scaling-fraud-losses/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2026/03/Fraud-Report-2026-iGaming-Cut-Thumbnail.webp","inLanguage":"en-US","description":"The betting and gaming sector is expanding at an unprecedented rate. Operators are launching novel products, entering new markets and competing aggressively for players in a landscape that rewards speed. Over half of the operators surveyed report revenue growth of 26% or more over the past year, making betting and gaming the fastest-growing sector in our research.​\n\n\n\nBut underneath these surging metrics lies a compounding structural failure. At least 57% of operators report that their fraud losses are growing even faster than their revenue. Scale is creating critical exposure just as quickly as it creates opportunity, leaving platforms critically underprepared to defend the user bases they are building.​\n\n\n\nThe Growth Engine is the Vulnerability\n\n\n\nIn most industries, fraud is an external threat to payment systems. In betting and gaming, it is a direct attack on the business model. The exact mechanisms designed to drive player acquisition are the ones bad actors are weaponizing. Every new region unlocked and every welcome bonus deployed acts simultaneously as a growth lever and a major vulnerability.​\n\n\n\nThis dynamic explains why specific types of abuse dominate the sector's financial losses:\n\n\n\n\nAccount Takeover (27% of losses): Fraudsters bypass weak authentication to hijack established, trusted player accounts and drain funds.​\n\n\n\nPromotion Abuse (23% of losses): Bad actors orchestrate sophisticated networks to systematically exploit sign-up bonuses and promotional offers at scale.​\n\n\n\n\nTogether, these attacks deliberately target the incentive structures operators rely on to grow, turning customer acquisition budgets into direct funding for organized fraud rings.​\n\n\n\nThe Broken Foundation of Fragmented Data\n\n\n\nAddressing this challenge requires comprehensive visibility, yet most operators are operating completely blind. When operators work across disconnected systems for KYC, fraud detection and AML compliance, the root cause of their challenges remains purely architectural.​\n\n\n\nIndividual point solutions might perform well in isolation, but they inevitably fail to provide a cohesive view of player risk. For example, if a KYC system flags a suspicious document during initial onboarding, a disconnected fraud engine will miss that critical context weeks later when the same player triggers a bonus abuse alert.​\n\n\n\nOver half of betting and gaming leaders admit that achieving data visibility is highly challenging. This fragmentation prevents teams from correlating signals across the player lifecycle. Consequently, 28% of operators plan to rip out and replace a vendor in 2026 as they desperately search for a way out of complex data silos.​\n\n\n\nFalling into the Headcount Trap\n\n\n\nFaced with rising fraud volumes, climbing false positives and lagging tools, the immediate instinct across the sector is to hire more people. Nearly half (47%) of betting and gaming operators prioritize headcount increases for 2026, sitting nearly 12 percentage points higher than other industries.​\n\n\n\nBut investing in human analysts over technology is a losing battle. Human teams scale linearly, while fraud attacks scale exponentially. Because operators cannot deploy sophisticated machine learning across fragmented systems, teams become completely overwhelmed. More than a third of operators are currently experiencing severe false-positive rates of 26% to 50%. Every new hire simply inherits the same broken infrastructure, resulting in slower investigations and higher friction for legitimate players.​\n\n\n\nWhat You Will Discover in the 2026 Report\n\n\n\nChanging the sequence is essential to break this cycle. The 2026 Betting &amp; Gaming Fraud Guide explores how 332 fraud and AML leaders are closing the detection gap, mastering AI adoption and scaling securely without compromising the player experience.​\n\n\n\nDownload this comprehensive report to learn about how to:\n\n\n\n\nFix the ArchitectureLearn how to consolidate disconnected KYC, AML and fraud point solutions into a unified data pipeline for a cohesive view of player risk.​\n\n\n\nAutomate IntelligentlyDiscover how to deploy AI as a strategic capability that maps the complete player journey, neutralizing threats before they impact your margins.​\n\n\n\nBreak the Headcount TrapBuild infrastructure that scales defenses exponentially, reducing severe false-positive rates and alleviating the burden on manual review teams.​\n\n\n\nTurn Risk into a Competitive AdvantageTransform fraud prevention from a reactive cost center into a secure engine for confident business expansion.​"}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/2026-fintech-payments-fraud-report/#article","isPartOf":{"@id":"https://seon.io/resources/guides/2026-fintech-payments-fraud-report/"},"author":{"name":"Jonathan Pryer","@id":"https://seon.io/#/schema/person/9bb627d6651a1910392c6742203943b9"},"headline":"The Specialization Trap: The Hidden Cost of Fighting Fraud in Isolation.","datePublished":"2026-04-09T10:04:12+00:00","dateModified":"2026-04-16T14:52:34+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/2026-fintech-payments-fraud-report/"},"wordCount":411,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/2026-fintech-payments-fraud-report/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2026/04/Fraud-Report-2026-Payments-Cut-Thumbnail.webp","inLanguage":"en-US","description":"Fintech, payments and financial institutions have built some of the most sophisticated fraud and AML operations in the world. Their risk and compliance teams are exceptionally well-funded and deeply specialized, leading the charge on AI adoption — a commitment reflected in the numbers. Sixty-seven percent of fintech leaders now invest heavily in AI and machine learning, far more than in any other industry.\n\n\n\nBut specialization comes with a hidden cost. As risk and compliance divisions evolved into standalone powerhouses, they drifted away from the digital and business functions they were meant to protect. Today, fewer than 5% of fraud and AML leaders in financial services sit within digital operations, compared to almost 30% in other sectors. The result is a disconnect that allows key fraud signals to slip through, a pattern known as the specialization trap.\n\n\n\nThe Deepest Divide in the Industry\n\n\n\nThe organizational divide often results in fraud defenses operating without full visibility into the customer journey. AI models trained only on fraud data miss key behavioral signals from digital channels: shifts in account activity, new access patterns, anomalies that appear before a transaction ever takes place. Ironically, the sector leading in AI investment is giving its systems the least complete view.\n\n\n\nWhen AI Inherits the Blind Spot\n\n\n\nNearly every financial leader surveyed plans to expand their vendor stack in 2026, with AI investment outpacing every other priority. Yet much of this focus still centers on transaction monitoring, where organizational visibility typically fades. Without connecting fraud, AML, and digital data streams, even the most sophisticated AI systems can act on only a fraction of the available insights.\n\n\n\nThe Biggest Learning: Fix the Foundations Before Scaling\n\n\n\nThe 2026 Fintech &amp; Payments Fraud Report reveals how decades of specialization have created the financial sector’s biggest unseen risk, and what leaders are doing now to correct it.\n\n\n\nInside, you’ll discover how to:\n\n\n\n\nBridge the divide: Reconnect fraud and AML data with business operations for real-time visibility across the customer journey.\n\n\n\nUnlock AI’s full power: Train models on combined fraud, compliance and customer data to surface early-warning signals before losses occur.\n\n\n\nInvest in connection, not complexity: Build unified platforms that eliminate data silos and transform AI expenditure into measurable ROI.\n\n\n\n\nWhat comes next isn’t another layer of technology but a shift in perspective: connecting the dots between fraud teams, business operations and AI, so organizations can finally act on what they’ve been missing."}
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{"@context":"https://schema.org","@type":"Article","@id":"https://seon.io/resources/guides/europe-in-focus-how-emea-fraud-aml-leaders-compare-to-the-global-picture/#article","isPartOf":{"@id":"https://seon.io/resources/guides/europe-in-focus-how-emea-fraud-aml-leaders-compare-to-the-global-picture/"},"author":{"name":"Jonathan Pryer","@id":"https://seon.io/#/schema/person/9bb627d6651a1910392c6742203943b9"},"headline":"Europe in Focus: How EMEA Fraud &amp; AML Leaders Compare to the Global Picture","datePublished":"2026-04-16T13:31:43+00:00","dateModified":"2026-04-16T14:55:06+00:00","mainEntityOfPage":{"@id":"https://seon.io/resources/guides/europe-in-focus-how-emea-fraud-aml-leaders-compare-to-the-global-picture/"},"wordCount":459,"publisher":{"@id":"https://seon.io/#organization"},"image":{"@id":"https://seon.io/resources/guides/europe-in-focus-how-emea-fraud-aml-leaders-compare-to-the-global-picture/#primaryimage"},"thumbnailUrl":"https://seon.io/wp-content/uploads/2026/04/Fraud-Report-EMEA-Thumbnail.webp","keywords":["AML","Fraud Detection"],"inLanguage":"en-US","description":"European fraud and AML leaders are operating in a pressure environment unlike any other region, and the data confirms it. Cross-border complexity, escalating sanctions exposure and aggressive expansion timelines are colliding with implementation bottlenecks, turning strategic ambition into measurable risk.\n\n\n\nThis EMEA State of Fraud report distills exclusive findings from SEON's 2026 Fraud and AML Leaders Report, analyzed specifically for European respondents, to reveal where the region's priorities align with the global picture and where they diverge in ways that demand a distinctly European response.\n\n\n\nThe result is a sharper, more granular view of how fraud and compliance leaders across Europe are scaling their teams, investing in technology and preparing for a threat landscape that is simultaneously more geopolitical and more automated than it was two years ago.\n\n\n\nWhat's Driving the European Divergence\n\n\n\nThe EMEA findings challenge several assumptions about how European operators approach fraud and AML. GDPR, long treated as the defining constraint on European compliance strategy, barely registers as a top concern — only 23% of European leaders cite data privacy regulations as their biggest external AML challenge, compared to 33% globally. That gap isn't complacency. It reflects a region where regulatory compliance has been absorbed into standard operations, freeing leaders to focus on the pressures that are actually moving.\n\n\n\nScaling Smart, Not Fast\n\n\n\nEuropean fraud and AML teams are growing, but intentionally. Ninety-six percent plan to increase headcount this year, essentially matching their global peers, but the profile of that hiring looks different. Where global leaders are disproportionately planning large-scale expansions, European organizations are concentrated in the three-to-five-hire range — a pattern that points to deliberate, targeted scaling rather than reactive growth.\n\n\n\nThe Execution Gap Threatening Growth\n\n\n\nThe most consequential finding in the EMEA data may also be the least visible: European organizations are taking longer than their global peers to operationalize new fraud and AML technology — and that gap is widening exactly when speed matters most. For teams whose primary strategic driver is entering new markets ahead of competitors, a prolonged go-live isn't a minor inconvenience. It's a direct exposure window and a missed commercial opportunity in the same package.\n\n\n\nBuilt for European Fraud and AML Leaders\n\n\n\nWhether evaluating a tech stack change ahead of a new market launch, building a business case for AI investment or benchmarking your team's capacity against regional peers, these findings give leaders a factual, regionally specific foundation for those conversations: where European organizations are ahead of the global curve, where they're carrying disproportionate exposure and where the gap between ambition and execution is creating real risk.\n\n\n\nDownload the EMEA State of Fraud report for the complete regional data, benchmarks and strategic context."}
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