{"id":14829,"date":"2026-10-02T16:52:46","date_gmt":"2026-10-02T14:52:46","guid":{"rendered":"https:\/\/trustpair.com\/blog\/fraud-score-calculate-it-easily-to-protect-your-business\/"},"modified":"2026-10-02T16:55:21","modified_gmt":"2026-10-02T14:55:21","slug":"fraud-score-calculate-it-easily-to-protect-your-business","status":"publish","type":"post","link":"https:\/\/trustpair.com\/gb\/blog\/fraud-score-calculate-it-easily-to-protect-your-business\/","title":{"rendered":"IP Fraud Score: How to Calculate It and Protect Your Business"},"content":{"rendered":"<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground\">An IP fraud score is a number from 1 to 100 that estimates how likely a transaction, order or new third party is to be fraudulent, based on signals tied to the user&#8217;s IP address, location and payment details. The higher the score, the higher the risk, and the stronger the case for further verification before any money leaves your account.<\/div>\n<div><\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground\">That number matters more than ever for UK organisations. Criminals stole \u00a31.28 billion through payment fraud in 2025, and authorised push payment losses rose 19% to \u00a3576.4 million, including \u00a375.6 million taken from businesses, according to UK Finance&#8217;s Annual Fraud Report 2026. Fraud scoring helps by surfacing risk in real time, while the order or supplier onboarding request is still in progress, rather than after the payment has settled.<\/div>\n<div><\/div>\n<div class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground\">It also covers ground that Confirmation of Payee cannot. CoP checks the name on a domestic GBP payment, but it does not score behavioural risk and does not extend to international supplier payments, which is where many UK finance teams remain exposed. This guide explains what an IP fraud score measures, how it is calculated, what each risk band signals, and how it fits into a wider <a href=\"https:\/\/trustpair.com\/gb\/vendor-fraud-prevention\/\">vendor fraud prevention strategy<\/a> built on verified banking data.<\/div>\n<h2 class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground\" class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground\" id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground\">An IP fraud score rates fraud risk from 1 to 100: the higher the score, the higher the likelihood of fraud.<\/li>\n<li class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground\">Scores are calculated from weighted signals, including billing and delivery address match, bank and billing match, IP and billing location match, proxy or VPN detection, and email account age.<\/li>\n<li class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground\">Risk bands guide the response: 0 to 49 is low risk, 50 to 69 is neutral, 70 to 89 is high risk, and 90 to 100 warrants a block or a deeper investigation.<\/li>\n<li class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground\">Under UK GDPR an IP address is personal data, so fraud scoring needs a documented lawful basis, usually legitimate interests, with a balancing test on file for the ICO.<\/li>\n<li class=\"whitespace-pre-wrap break-words font-normal first:pt-0 last:pb-0 py-1 @sm:pt-2 @sm:pb-[10px] @sm:leading-relaxed text-base leading-relaxed text-foreground\">An IP fraud score alone will not stop supplier payment fraud. Confirmation of Payee covers domestic GBP payments only, so pair scoring with <a href=\"https:\/\/trustpair.com\/gb\/automated-account-validation\/\">continuous bank account validation<\/a> for international suppliers.<\/li>\n<\/ul>\n<p><!--HubSpot Call-to-Action Code --><span id=\"hs-cta-wrapper-cb3b9bdf-d76f-4b4c-a05d-018ca9d9d98f\" class=\"hs-cta-wrapper\"><span id=\"hs-cta-cb3b9bdf-d76f-4b4c-a05d-018ca9d9d98f\" class=\"hs-cta-node hs-cta-cb3b9bdf-d76f-4b4c-a05d-018ca9d9d98f\"><!-- [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\/cb3b9bdf-d76f-4b4c-a05d-018ca9d9d98f\"><img decoding=\"async\" id=\"hs-cta-img-cb3b9bdf-d76f-4b4c-a05d-018ca9d9d98f\" class=\"hs-cta-img\" style=\"border-width: 0px;\" src=\"https:\/\/no-cache.hubspot.com\/cta\/default\/5278241\/cb3b9bdf-d76f-4b4c-a05d-018ca9d9d98f.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, 'cb3b9bdf-d76f-4b4c-a05d-018ca9d9d98f', {\"useNewLoader\":\"true\",\"region\":\"na1\"}); <\/script><\/span><!-- end HubSpot Call-to-Action Code --><\/p>\n<h2 id=\"what-is-the-ip-fraud-score\">What is the IP fraud score?<\/h2>\n<p>The IP fraud score is a number between 1-100. <strong>This scale represents the likelihood of fraud, based on several pre-determined components.<\/strong> The presence or absence of these components is each given a score and then totaled up. Every company has its threshold, but generally speaking, the lower the number, the lower the risk of fraud.<\/p>\n<p>Components of the IP fraud score include risk factors like the IP address location, whether this matches the location of the third party, whether the address is residential and more. Fraud scoring is used to help companies detect attempts of fraud, and prevent both the financial losses and reputational damages associated with falling victim to fraud.<\/p>\n<p>While the IP fraud score can\u2019t be the sole reason to reject an order or new partnership with a supplier, it can signify that more information is needed before you sign on the dotted line.<\/p>\n<p>Fraud scoring can be useful in any type of business, but it\u2019s most commonly used in regulated industries like banking and insurance. E-commerce platforms also use the calculation to arm small business owners with the choice to serve a high-risk customer to prevent chargebacks.<\/p>\n<h2 id=\"how-does-ip-screening-enhance-fraud-detection\">How does IP screening enhance fraud detection?<\/h2>\n<p>IP screening plays an essential role in fraud detection by verifying if the IP address aligns with a user&#8217;s or third party&#8217;s expected location. This process is often included in fraud scoring models as it can detect potential red flags such as mismatches between the IP location and billing address, use of VPNs, or other suspicious activity.<\/p>\n<h2 id=\"why-is-the-ip-fraud-score-important\">Why is the IP fraud score important?<\/h2>\n<p>IP fraud scoring is an integral tool for any business that wants to <strong>prevent losses through fraud.<\/strong> Generally speaking, a high fraud score can indicate a greater risk of fraud (although there are false positives to watch out for!).<\/p>\n<h3 id=\"protect-against-cyber-risks\">Protect against cyber risks<\/h3>\n<p>In particular, IP fraud scores are important as <strong>they form part of the overall cyber risk assessment.<\/strong> This essentially involves identifying, assessing, and responding to cyber risks, and using the information to inform the direction of company decisions.<\/p>\n<p>Cyber risks can include:<\/p>\n<ul>\n<li>Malware attacks<\/li>\n<li><a href=\"https:\/\/trustpair.com\/gb\/blog\/\">Phishing scams<\/a><\/li>\n<li>Pharming violations<\/li>\n<li>Social engineering hacks<\/li>\n<li>Ransomware fraud<\/li>\n<\/ul>\n<p>Therefore, by understanding the risk factors, companies can calculate the likelihood of each type of cyber risk occurring. Moreover, by identifying these types of attacks, organizations can actively work to plug any vulnerabilities and create a strong strategy against fraud.<\/p>\n<p>The fraud score is just one part of this strategy. For example, using fraud scoring to risk assess a potential new vendor could block suspicious parties. Thus, the procurement team should know to treat emails with links very carefully from such parties, protecting the business from pharming.<\/p>\n<h3 id=\"real-time-action\">Real-time action<\/h3>\n<p>Fraud scoring enables businesses to <strong>respond to real-time threats and make decisions via automated rules.<\/strong><\/p>\n<p>Fraud scoring typically works through automated software platforms, which means that the score itself can be calculated instantly, as the third party is still on the line.<\/p>\n<p>This can be incredibly useful since it enables organizations to set behavior-based rules. For example, if the fraud score is above 89, you could automatically set your software to reject an order. This translates to a high-risk individual (<a href=\"https:\/\/trustpair.com\/gb\/blog\/cybercriminals-and-how-to-protect-your-company-against-them\/\">likely a cybercriminal<\/a>) blocked from attempting to make a purchase and defraud the business through a chargeback.<\/p>\n<p>Fortunately, this also works for third-party partnerships, in the form of SOPs or guides. When the fraud score is high, procurement employees can raise their queries with their managers about the level of risk. This might result in outright rejection, or trigger a deeper investigation.<\/p>\n<h3 id=\"verify-customers-and-partners\">Verify customers and partners<\/h3>\n<p>In this day and age, customers have grown to appreciate the extra security measures that signal when a business can keep their information safe and secure. Thus, although fraud scoring might result in slightly more friction during the sales process, the benefits usually outweigh the cons.<\/p>\n<p>Since a fraud score works in both b2b and b2c settings (preventing fraudulent customers from submitting false chargebacks, for example), it\u2019s a versatile tool in protecting your business. And where social engineering techniques are involved (ie. those manipulating the humans in the business), <strong>fraud scores can help verify customers and partners based on unemotional evidence.<\/strong><\/p>\n<h2 id=\"how-do-you-calculate-a-fraud-score\">How do you calculate a fraud score?<\/h2>\n<p>Every company has its own algorithm for fraud score calculations, which means there\u2019s no set method. However,<strong> most IP fraud scores are calculated by assessing the following factors:<\/strong><\/p>\n<ul>\n<li>Billing and shipping match: simply, does the billing address match the shipping address?<\/li>\n<li>Bank and billing match: does the bank location (country or state) match the billing address?<\/li>\n<li>IP address and billing match: is the computer being used to make the purchase in the vicinity of the billing address?<\/li>\n<li>Proxy detection: is there a VPN in use? Any attempts to conceal or change location will be treated suspiciously and could signify a <a href=\"https:\/\/trustpair.com\/gb\/blog\/\">pharming attack<\/a><\/li>\n<li>Email age: the older the email account, the more credible<\/li>\n<\/ul>\n<h3 id=\"fraud-scoring-models\">Fraud scoring models<\/h3>\n<p>Most companies opt for <strong>fraud scoring models in order to automate the process of fraud detection.<\/strong><\/p>\n<p>This works by weighting each of the factors against one another, according to relevance and potential consequences. For example, proxy detection might make up 30% of the overall risk score, whereas billing and shipping match may only make up 10%.<\/p>\n<p>Here is what each score could signal within the model:<\/p>\n<ul>\n<li><strong>0-10:<\/strong> very low risk of fraud &#8211; there is a high level of confidence in the purchaser\u2019s identity, and zero history of fraudulent or suspicious behavior<\/li>\n<li><strong>11-49:<\/strong> low risk of fraud &#8211; there are some indications that the party is who they say they are, and that their purchase is genuine<\/li>\n<li><strong>50-69:<\/strong> neutral risk &#8211; there is nothing to indicate confidence either way and without this guidance, there is a medium level of fraud risk<\/li>\n<li><strong>70-89:<\/strong> high risk of fraud &#8211; there are signals of deception or mismatching information which increase the risk (although at this stage everything must be verified as there is also a chance of false positives)<\/li>\n<li><strong>90-100:<\/strong> very high risk of fraud &#8211; strong signals of deception and mismatched information, history of fraud connected to this account, and a high likelihood of <a href=\"https:\/\/trustpair.com\/gb\/blog\/\">cybercrime<\/a><\/li>\n<\/ul>\n<p>By using an automated fraud scoring system for customers, businesses are effectively trying to protect themselves from false chargebacks. However, where an IP fraud scoring system has been used, businesses have little recourse if they do then fall victim to a scam.<\/p>\n<p>Therefore, it\u2019s important to ensure that the chosen fraud scoring model is credible, with low percentages of false positives and high confidence. Otherwise, businesses would not only put themselves at risk of fraud but also risk losing revenue by turning down genuine paying customers, or legitimate suppliers.<\/p>\n<h2 id=\"block-the-effects-of-cyber-fraud-with-prevention-software\">Block the effects of cyber-fraud with prevention software<\/h2>\n<p>Cyber fraud presents a real threat to businesses in any industry since penetration by fraudsters could reveal company secrets, publish sensitive information, and cause financial losses.<\/p>\n<p>However, <a href=\"https:\/\/trustpair.com\/gb\/fraud-prevention-software\/\">fraud detection and prevention software can help.<\/a> Trustpair\u2019s platform <strong>protects companies against payment fraud<\/strong> by using a combination of tools, including fraud scoring. This is paired with reliable global vendor data, automated account validations, and cross-functional workflows to pack a punch against fraud attempts.<\/p>\n<p>Choose Trustpair to block the financial effects of cyber-fraudsters. <a href=\"https:\/\/trustpair.com\/gb\/demo-5\/\">Request a demo now!<\/a><\/p>\n<p><!--HubSpot Call-to-Action Code --><span id=\"hs-cta-wrapper-88c43523-48c7-4511-b937-9010a4d691e8\" class=\"hs-cta-wrapper\"><span id=\"hs-cta-88c43523-48c7-4511-b937-9010a4d691e8\" class=\"hs-cta-node hs-cta-88c43523-48c7-4511-b937-9010a4d691e8\"><!-- [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\/88c43523-48c7-4511-b937-9010a4d691e8\"><img decoding=\"async\" id=\"hs-cta-img-88c43523-48c7-4511-b937-9010a4d691e8\" class=\"hs-cta-img\" style=\"border-width: 0px;\" src=\"https:\/\/no-cache.hubspot.com\/cta\/default\/5278241\/88c43523-48c7-4511-b937-9010a4d691e8.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, '88c43523-48c7-4511-b937-9010a4d691e8', {\"useNewLoader\":\"true\",\"region\":\"na1\"}); <\/script><\/span><!-- end HubSpot Call-to-Action Code --><\/p>\n<p><strong>Summary:<\/strong><br \/>\nThe fraud score automatically gathers data in various categories to calculate the risk of fraud. Then, custom rules will determine the response plan &#8211; whether to go ahead with any sales or block a likely fraudster. Fraud detection and prevention platforms like Trustpair use fraud risk scoring under their machine learning programs, to protect companies.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>An IP fraud score is a number from 1 to 100 that estimates how likely a transaction, order or new third party is to be fraudulent, based on signals tied to the user&#8217;s IP address, location and payment details. The higher the score, the higher the risk, and the stronger the case for further verification [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":14830,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[117],"tags":[],"class_list":["post-14829","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-fraud-protection-gb"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>IP fraud score: how to calculate it - Trustpair<\/title>\n<meta name=\"description\" content=\"Cyber fraud is on the rise and can have disastrous consequences for businesses. 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