{"id":20112,"date":"2026-07-22T11:01:47","date_gmt":"2026-07-22T09:01:47","guid":{"rendered":"https:\/\/trustpair.com\/blog\/understanding-and-combating-synthetic-identity-fraud-in-business\/"},"modified":"2026-07-22T11:27:41","modified_gmt":"2026-07-22T09:27:41","slug":"understanding-and-combating-synthetic-identity-fraud-in-business","status":"publish","type":"post","link":"https:\/\/trustpair.com\/gb\/blog\/understanding-and-combating-synthetic-identity-fraud-in-business\/","title":{"rendered":"Understanding and Combating Synthetic Identity Fraud in Business"},"content":{"rendered":"<p><strong>Synthetic identity fraud<\/strong> involves the piecing together of genuine personal information and fake details to form a brand new identity, which fraudsters then use to access a business\u2019 private information or financial accounts.<\/p>\n<p>AI plays a huge role in preventing synthetic identity fraud, as do image history searches, data matching and information monitoring. Platforms like Trustpair work to prevent businesses from falling victim to payment fraudsters by detecting discrepancies in real time, and monitoring changes to the data that could indicate higher risk.<\/p>\n<p>Learn how to safeguard company funds by preventing synthetic identity fraud. <a href=\"https:\/\/trustpair.com\/gb\/demo-5\/\">Book a demo<\/a> to learn more!<\/p>\n<h2 id=\"key-takeaways\" class=\"pb-2 pt-4 heading-xl text-foreground\">Key Takeaways<\/h2>\n<ul class=\"list-disc pb-2 pl-6 flex flex-col gap-1 text-foreground text-base leading-relaxed\">\n<li class=\"break-words text-foreground text-base leading-relaxed\"><strong class=\"font-semibold text-foreground\">Synthetic identity fraud<\/strong>\u00a0combines real stolen data (such as National Insurance numbers) with fabricated details to create a new, entirely fictional identity.<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">It is one of the\u00a0<strong class=\"font-semibold text-foreground\">fastest-growing financial crimes<\/strong>\u00a0globally: estimated losses reach\u00a0<strong class=\"font-semibold text-foreground\">\u00a316\u2013\u00a332 billion<\/strong>\u00a0per year worldwide, with US lenders alone facing\u00a0<strong class=\"font-semibold text-foreground\">$3.3 billion in exposure<\/strong>\u00a0in H1 2025 (BIIA, 2026).<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\"><strong class=\"font-semibold text-foreground\">95% of synthetic identities pass standard verification checks<\/strong>, making them nearly invisible to legacy fraud detection systems (Thomson Reuters).<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">In a B2B context, synthetic identities are used to infiltrate procurement cycles, submit fake invoices, and divert supplier payments \u2014 often going undetected for months.<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">The\u00a0<strong class=\"font-semibold text-foreground\">Economic Crime and Corporate Transparency Act 2023<\/strong>\u00a0introduced mandatory identity verification for company directors at Companies House, directly targeting manufactured business identities.<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">The best defence is\u00a0<strong class=\"font-semibold text-foreground\">automated, continuous account validation<\/strong>\u00a0that cross-references supplier details against external databases before every payment.<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">Trustpair has blocked\u00a0<strong class=\"font-semibold text-foreground\">100% of payment fraud attempts<\/strong>\u00a0for its customers since deployment.<\/li>\n<\/ul>\n<p><!--HubSpot Call-to-Action Code --><span id=\"hs-cta-wrapper-f87ea066-7298-4ae0-bcd1-f309efec12d5\" class=\"hs-cta-wrapper\"><span id=\"hs-cta-f87ea066-7298-4ae0-bcd1-f309efec12d5\" class=\"hs-cta-node hs-cta-f87ea066-7298-4ae0-bcd1-f309efec12d5\"><!-- [if lte IE 8]>\n\n\n<div id=\"hs-cta-ie-element\"><\/div>\n\n\n<![endif]--><a href=\"https:\/\/cta-redirect.hubspot.com\/cta\/redirect\/5278241\/f87ea066-7298-4ae0-bcd1-f309efec12d5\"><img decoding=\"async\" id=\"hs-cta-img-f87ea066-7298-4ae0-bcd1-f309efec12d5\" class=\"hs-cta-img\" style=\"border-width: 0px;\" src=\"https:\/\/no-cache.hubspot.com\/cta\/default\/5278241\/f87ea066-7298-4ae0-bcd1-f309efec12d5.png\" alt=\"Nouveau call-to-action\" \/><\/a><\/span><script charset=\"utf-8\" src=\"https:\/\/js.hscta.net\/cta\/current.js\"><\/script><script type=\"text\/javascript\"> hbspt.cta.load(5278241, 'f87ea066-7298-4ae0-bcd1-f309efec12d5', {\"useNewLoader\":\"true\",\"region\":\"na1\"}); <\/script><\/span><\/p>\n<p><!-- end HubSpot Call-to-Action Code --><\/p>\n<h2 id=\"what-is-synthetic-identity-fraud\" class=\"pb-2 pt-4 heading-xl text-foreground\">What is synthetic identity fraud?<\/h2>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">Synthetic identity fraud is a sophisticated financial crime in which fraudsters blend legitimate stolen data \u2014 such as National Insurance (NI) numbers or Companies House registration details \u2014 with fabricated information to construct entirely new, functional personas. This allows them to bypass traditional verification protocols and infiltrate corporate systems under the guise of legitimate entities.<\/div>\n<div><\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">For businesses, this poses a critical risk in the form of <a class=\"break-all font-semibold transition-all duration-200 ease-in-out hover:underline text-highlight hover:text-highlight-400 active:text-highlight-dark\" title=\"https:\/\/trustpair.com\/gb\/blog\/invoice-fraud\/\" href=\"https:\/\/trustpair.com\/gb\/blog\/invoice-fraud\/\" target=\"_blank\" rel=\"noopener noreferrer\">invoice fraud<\/a>, where fraudulent suppliers intercept the payment chain or submit billing for unrendered services. These fabricated identities are systematically cultivated to build credibility, sometimes over months, before being used to exploit procurement vulnerabilities and then abandoned.<\/div>\n<div><\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">What makes synthetic identity fraud so dangerous is its invisibility: <strong class=\"font-semibold text-foreground\">95% of synthetic identities pass standard verification checks<\/strong> (Thomson Reuters), and since no single real individual is fully victimised, traditional red-flag systems rarely trigger.<\/div>\n<h2 id=\"how-are-synthetic-identities-created\" class=\"pb-2 pt-4 heading-xl text-foreground\">How are synthetic identities created?<\/h2>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\"><strong class=\"font-semibold text-foreground\">Here&#8217;s the step-by-step of synthetic identity creation:<\/strong><\/div>\n<ol class=\"list-decimal pb-2 pl-6 flex flex-col gap-1 text-foreground text-base leading-relaxed\">\n<li class=\"break-words text-foreground text-base leading-relaxed\">The fraudster obtains one piece of real information \u2014 usually a National Insurance number or a legitimate company registration \u2014 typically purchased on the dark web or harvested from a data breach<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">They combine the real identifier with fabricated data: a false name, date of birth, address, and in a B2B context, fake director details or a cloned Companies House filing<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">They build a credibility profile for the identity over time, opening accounts, establishing trade references, and making legitimate payments to build trust with financial institutions and suppliers. The longer the fraudster &#8220;incubates&#8221; the identity, the more credible it appears<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">Once a sufficient credit or trade history is established, the fraudster exploits all available lines of credit or diverts supplier payments in one go, then immediately abandons the identity<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">The process is repeated \u2014 often across multiple synthetic identities simultaneously<\/li>\n<\/ol>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">There are two types of synthetic identities:<\/div>\n<div><\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\"><strong class=\"font-semibold text-foreground\">Manipulated<\/strong><\/div>\n<ul class=\"list-disc pb-2 pl-6 flex flex-col gap-1 text-foreground text-base leading-relaxed\">\n<li class=\"break-words text-foreground text-base leading-relaxed\">A genuine identity where only one or two items of information have been altered<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">Example: a sole trader falsifies their credit history to access better financing terms or extend a supplier payment period<\/li>\n<\/ul>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\"><strong class=\"font-semibold text-foreground\">Manufactured<\/strong><\/div>\n<ul class=\"list-disc pb-2 pl-6 flex flex-col gap-1 text-foreground text-base leading-relaxed\">\n<li class=\"break-words text-foreground text-base leading-relaxed\">A completely fake identity where none of the data corresponds to a real individual<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">Example: a fraudster registers a shell company at Companies House with fabricated director details and uses it to raise fraudulent invoices against real businesses<\/li>\n<\/ul>\n<h2 id=\"what-are-the-key-indicators-of-synthetic-identity-fraud\" class=\"pb-2 pt-4 heading-xl text-foreground\">What are the key indicators of synthetic identity fraud?<\/h2>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">One of the most challenging aspects of synthetic identity fraud is that attackers often incubate their identities and wait until the right moment to strike. In 2025, synthetic identities were implicated in <strong class=\"font-semibold text-foreground\">21% of first-party frauds detected<\/strong> across financial institutions (BIIA, 2026).<\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">Key indicators to watch for:<\/div>\n<ul class=\"list-disc pb-2 pl-6 flex flex-col gap-1 text-foreground text-base leading-relaxed\">\n<li class=\"break-words text-foreground text-base leading-relaxed\"><strong class=\"font-semibold text-foreground\">Digital identity mismatch<\/strong>\u00a0\u2014 physical details look clean but IP location, device fingerprint, or login behaviour do not align<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\"><strong class=\"font-semibold text-foreground\">Complaints from real customers or suppliers<\/strong>\u00a0\u2014 a manipulated identity based on a real person may trigger alerts from the genuine victim<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\"><strong class=\"font-semibold text-foreground\">Lack of credit or trading history<\/strong>\u00a0\u2014 a very thin or unusually short history for a supposedly established business or individual<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\"><strong class=\"font-semibold text-foreground\">Multiple accounts sharing the same contact details<\/strong>\u00a0\u2014 same phone number or email address appearing across different identities<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\"><strong class=\"font-semibold text-foreground\">High-risk IP metadata<\/strong>\u00a0\u2014 access requests originating from flagged or mismatched geographies<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\"><strong class=\"font-semibold text-foreground\">Inconsistencies with Companies House records<\/strong>\u00a0\u2014 registered address, director names, or incorporation dates that do not match what the supplier has provided<\/li>\n<\/ul>\n<h3 id=\"digital-identity-mismatch\" class=\"pb-2 pt-4 heading-lg text-foreground\">Digital identity mismatch<\/h3>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">While the physical data may not be suspicious, always use additional verification methods to validate the identity of customers and suppliers.<\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">By applying <a class=\"break-all font-semibold transition-all duration-200 ease-in-out hover:underline text-highlight hover:text-highlight-400 active:text-highlight-dark\" title=\"https:\/\/trustpair.com\/gb\/blog\/detective-controls\/\" href=\"https:\/\/trustpair.com\/gb\/blog\/detective-controls\/\" target=\"_blank\" rel=\"noopener noreferrer\">detective controls<\/a> such as assessing digital identity factors like IP address, you can determine whether an individual is contacting you from where their physical address indicates. Two-factor authentication adds a further layer: sending a text message to the associated phone number verifies both that a real person exists and that the number belongs to the right identity.<\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">Where these factors do not align with the details provided or verified through an external database, the case warrants escalation to your fraud team.<\/div>\n<h3 id=\"complaints-from-real-customers-or-suppliers\" class=\"pb-2 pt-4 heading-lg text-foreground\">Complaints from real customers or suppliers<\/h3>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\"><a class=\"break-all font-semibold transition-all duration-200 ease-in-out hover:underline text-highlight hover:text-highlight-400 active:text-highlight-dark\" title=\"https:\/\/trustpair.com\/gb\/blog\/the-dangers-of-cyber-fraud-for-your-company\/\" href=\"https:\/\/trustpair.com\/gb\/blog\/the-dangers-of-cyber-fraud-for-your-company\/\" target=\"_blank\" rel=\"noopener noreferrer\">Cyber fraudsters<\/a> often spend weeks or months building a synthetic identity&#8217;s credibility before striking \u2014 but this creates one key vulnerability for manipulated identities. Since these are based on real people, there is a chance the genuine victim notices unusual activity and files a report, which can trigger an investigation, identify the synthetic identity, and allow the fraudster to be blocked.<\/div>\n<h2 id=\"how-can-your-business-detect-and-prevent-synthetic-identity-fraud\" class=\"pb-2 pt-4 heading-xl text-foreground\">How can your business detect and prevent synthetic identity fraud?<\/h2>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\"><a class=\"break-all font-semibold transition-all duration-200 ease-in-out hover:underline text-highlight hover:text-highlight-400 active:text-highlight-dark\" title=\"https:\/\/trustpair.com\/gb\/vendor-fraud-prevention\/\" href=\"https:\/\/trustpair.com\/gb\/vendor-fraud-prevention\/\" target=\"_blank\" rel=\"noopener noreferrer\">Preventing identity fraud<\/a> requires you to answer two primary questions:<\/div>\n<ol class=\"list-decimal pb-2 pl-6 flex flex-col gap-1 text-foreground text-base leading-relaxed\">\n<li class=\"break-words text-foreground text-base leading-relaxed\">Does this entity really exist?<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">Do all the details match verified, publicly available records?<\/li>\n<\/ol>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">To answer these questions reliably, many companies rely on technology like Trustpair&#8217;s <a class=\"break-all font-semibold transition-all duration-200 ease-in-out hover:underline text-highlight hover:text-highlight-400 active:text-highlight-dark\" title=\"https:\/\/trustpair.com\/gb\/platform\/vendor-monitoring\/\" href=\"https:\/\/trustpair.com\/gb\/platform\/vendor-monitoring\/\" target=\"_blank\" rel=\"noopener noreferrer\">vendor database monitoring<\/a>, which:<\/div>\n<ul class=\"list-disc pb-2 pl-6 flex flex-col gap-1 text-foreground text-base leading-relaxed\">\n<li class=\"break-words text-foreground text-base leading-relaxed\">Collects the data that suppliers provide and compares it against trusted external sources, including Companies House and international registries<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">Grades each supplier as favourable or unfavourable based on real-time risk signals<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">Spots duplicate entries, errors, or missing data and flags these for review<\/li>\n<li class=\"break-words text-foreground text-base leading-relaxed\">Automatically blocks payments to fraudulent suppliers using customisable AI rules<\/li>\n<\/ul>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">Given that <strong class=\"font-semibold text-foreground\">67% of financial institutions saw fraud rates climb in 2025<\/strong> (BIIA, 2026), manual supplier vetting processes are no longer sufficient. Automated, continuous validation is now the operational standard for UK finance teams.<\/div>\n<h2 id=\"how-is-ai-used-to-detect-and-prevent-synthetic-identity-fraud\" class=\"pb-2 pt-4 heading-xl text-foreground\">How is AI used to detect and prevent synthetic identity fraud?<\/h2>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">AI is almost always used by fraudsters to build convincing profiles at scale \u2014 often managing multiple synthetic identities simultaneously. But AI is also the most effective counter-measure available.<\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">Generative AI can combine biological and behavioural biometrics to combat synthetic identity fraud, checking how many applications have been submitted per device, for example. It can cross-reference ID photos against known duplicate identities in real time. AI can also conduct <a class=\"break-all font-semibold transition-all duration-200 ease-in-out hover:underline text-highlight hover:text-highlight-400 active:text-highlight-dark\" title=\"https:\/\/trustpair.com\/gb\/blog\/kyc-aml-compliance\/\" href=\"https:\/\/trustpair.com\/gb\/blog\/kyc-aml-compliance\/\" target=\"_blank\" rel=\"noopener noreferrer\">Know Your Customer<\/a> (KYC) and Know Your Business (KYB) checks on an ongoing basis \u2014 not just at onboarding.<\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">Under the <strong class=\"font-semibold text-foreground\">Economic Crime and Corporate Transparency Act 2023<\/strong>, large UK organisations are now subject to a new corporate offence of &#8220;failure to prevent fraud&#8221; (effective September 2025). This means businesses must implement reasonable procedures to prevent fraud by associated persons \u2014 making automated identity verification not just best practice, but a legal risk consideration.<\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">As AI-generated fraud becomes more scalable and harder to detect manually, <a class=\"break-all font-semibold transition-all duration-200 ease-in-out hover:underline text-highlight hover:text-highlight-400 active:text-highlight-dark\" title=\"https:\/\/trustpair.com\/gb\/automated-account-validation\/\" href=\"https:\/\/trustpair.com\/gb\/automated-account-validation\/\" target=\"_blank\" rel=\"noopener noreferrer\">automated account validation<\/a> is no longer optional for UK finance teams. It is the only reliable way to catch synthetic identities before payments leave the business.<\/div>\n<h3 id=\"to-conclude\" class=\"pb-2 pt-4 heading-lg text-foreground\">To conclude<\/h3>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\">Synthetic identity fraud occurs when criminals combine real and fabricated information to impersonate customers or suppliers and infiltrate payment workflows. With fraud now accounting for 45% of all crime in England and Wales, and the new corporate &#8220;failure to prevent fraud&#8221; offence in force since September 2025, UK businesses face growing legal and financial pressure to strengthen their controls. Automated tools like Trustpair&#8217;s vendor monitoring platform provide the continuous oversight needed to detect synthetic identities before they cause harm.<\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @md:pt-2 @md:pb-[10px] @md:leading-relaxed text-base leading-relaxed text-foreground\"><a class=\"break-all font-semibold transition-all duration-200 ease-in-out hover:underline text-highlight hover:text-highlight-400 active:text-highlight-dark\" title=\"https:\/\/trustpair.com\/gb\/demo-5\/\" href=\"https:\/\/trustpair.com\/gb\/demo-5\/\" target=\"_blank\" rel=\"noopener noreferrer\">Contact an expert<\/a> to learn more!<\/div>\n<p><!--HubSpot Call-to-Action Code --><span id=\"hs-cta-wrapper-da811cb8-a05b-4781-a174-88c951500f10\" class=\"hs-cta-wrapper\"><span id=\"hs-cta-da811cb8-a05b-4781-a174-88c951500f10\" class=\"hs-cta-node hs-cta-da811cb8-a05b-4781-a174-88c951500f10\"><!-- [if lte IE 8]>\n\n\n<div id=\"hs-cta-ie-element\"><\/div>\n\n\n<![endif]--><a href=\"https:\/\/cta-redirect.hubspot.com\/cta\/redirect\/5278241\/da811cb8-a05b-4781-a174-88c951500f10\"><img decoding=\"async\" id=\"hs-cta-img-da811cb8-a05b-4781-a174-88c951500f10\" class=\"hs-cta-img\" style=\"border-width: 0px;\" src=\"https:\/\/no-cache.hubspot.com\/cta\/default\/5278241\/da811cb8-a05b-4781-a174-88c951500f10.png\" alt=\"New call-to-action\" \/><\/a><\/span><script charset=\"utf-8\" src=\"https:\/\/js.hscta.net\/cta\/current.js\"><\/script><script type=\"text\/javascript\"> hbspt.cta.load(5278241, 'da811cb8-a05b-4781-a174-88c951500f10', {\"useNewLoader\":\"true\",\"region\":\"na1\"}); <\/script><\/span><\/p>\n<p><!-- end HubSpot Call-to-Action Code --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Synthetic identity fraud involves the piecing together of genuine personal information and fake details to form a brand new identity, which fraudsters then use to access a business\u2019 private information or financial accounts. AI plays a huge role in preventing synthetic identity fraud, as do image history searches, data matching and information monitoring. Platforms like [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":16445,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[],"class_list":["post-20112","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-fraud-protection"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Synthetic Identity Fraud: Understanding This Growing Threat<\/title>\n<meta name=\"description\" content=\"Explore the rise of synthetic identity fraud, how criminals create fake identities to exploit businesses, and strategies to detect and prevent this escalating risk.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/trustpair.com\/gb\/blog\/understanding-and-combating-synthetic-identity-fraud-in-business\/\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Synthetic Identity Fraud: Understanding This Growing Threat\" \/>\n<meta property=\"og:description\" content=\"Explore the rise of synthetic identity fraud, how criminals create fake identities to exploit businesses, and strategies to detect and prevent this escalating risk.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/trustpair.com\/gb\/blog\/understanding-and-combating-synthetic-identity-fraud-in-business\/\" \/>\n<meta property=\"og:site_name\" content=\"Trustpair\" \/>\n<meta property=\"article:published_time\" content=\"2026-07-22T09:01:47+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-22T09:27:41+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/trustpair.com\/wp-content\/uploads\/shutterstock_2482383353-1-e1739270780507.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"665\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Locuri P. 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