{"id":29007,"date":"2026-07-31T11:34:58","date_gmt":"2026-07-31T11:34:58","guid":{"rendered":"https:\/\/bilnex.io\/en\/deepfake-invoice-fraud-protection\/"},"modified":"2026-07-31T11:38:03","modified_gmt":"2026-07-31T11:38:03","slug":"syvalaskupetosten-suojaus","status":"publish","type":"page","link":"https:\/\/bilnex.io\/fi\/syvalaskupetosten-suojaus\/","title":{"rendered":"Kuinka suojaat yrityst\u00e4si syv\u00e4laskupetoksilta vuonna 2026?"},"content":{"rendered":"<article class=\"article-content-section article-content article-single\">\n<div class=\"container content-area\">\n<div class=\"text-content ce-answer\">\n<h3 id=\"in-short-tl-dr\">In short (TL;DR)<\/h3>\n<p>Deepfake fraud has reached ordinary finance teams. FBI data published in April 2026 counts $893 million in AI-related fraud losses for 2025, and in the best-known case a finance employee wired $25.6 million after a video call in which every participant was a deepfake. The bad news: people identify high-quality fake video with only 24.5% accuracy on average. The good news: your defence doesn&#8217;t depend on sharp eyes \u2014 it depends on five process rules you can put in place this week.<\/p>\n<h2 id=\"how-does-deepfake-invoice-fraud-work\">How does deepfake invoice fraud work?<\/h2>\n<p>Classic invoice fraud relied on a forged PDF and a rushed victim. AI added three new weapons:<\/p>\n<ul>\n<li>Voice cloning: about three seconds of public audio (an interview, a webinar, a social video) is enough to call your accountant in the boss&#8217;s voice and order an &#8220;urgent payment&#8221;.<\/li>\n<li>Deepfake video calls: fraudsters invite an employee to a meeting where the &#8220;CFO&#8221; and &#8220;colleagues&#8221; are all AI-generated. That&#8217;s exactly how one company lost <a href=\"https:\/\/www.eftsure.com\/statistics\/deepfake-statistics\/\">$25.6 million across 15 transfers<\/a>.<\/li>\n<li>Perfect fake invoices: AI drafts an invoice matching your supplier&#8217;s layout, numbering logic and tone: the only change is the bank account.<\/li>\n<\/ul>\n<h2 id=\"how-big-is-the-risk-really\">How big is the risk, really?<\/h2>\n<p>The hard numbers are mostly American, but the pattern is global. According to <a href=\"https:\/\/www.adaptivesecurity.com\/blog\/deepfake-statistics-2026-the-data-security-leaders-need-to-know\">FBI Internet Crime Complaint Center data<\/a>, 22,364 complaints referencing AI were filed during 2025, with adjusted losses of $893 million. Finance teams are the first target because speed, sums and routine intersect there. <a href=\"https:\/\/cybelangel.com\/blog\/deepfake-ceo-fraud-how-voice-cloning-targets-us-executives\/\">Voice-cloning attacks on executives<\/a> follow the same playbook everywhere: the language of the email changes, the pattern doesn&#8217;t.<\/p>\n<h2 id=\"why-doesn-t-i-d-recognise-my-boss-s-voice-work\">Why doesn&#8217;t &#8220;I&#8217;d recognise my boss&#8217;s voice&#8221; work?<\/h2>\n<p>Because you wouldn&#8217;t. In controlled tests, people identify high-quality deepfake video with an average accuracy of 24.5% \u2014 worse than a coin flip. More than half of business leaders admit their employees have had no deepfake training at all. Vigilance is necessary but insufficient as a strategy: the fraudster needs one lucky afternoon, you need to be right every single day.<\/p>\n<h2 id=\"the-five-process-rules-that-stop-the-fraud\">The five process rules that stop the fraud<\/h2>\n<ol>\n<li>The call-back rule: every payment or account-change request that arrives by call, video or email gets verified in a second channel on a previously known number. Not the number in the fraudster&#8217;s signature.<\/li>\n<li>An IBAN change is always a red flag: never take a supplier&#8217;s new bank account from an invoice or an email: confirm it through the supplier&#8217;s established contact.<\/li>\n<li>Dual approval: payments above an agreed threshold (say \u20ac1,000) need two approvers. Urgency is not a reason to skip this \u2014 urgency is the fraud&#8217;s fuel.<\/li>\n<li>A code question with management: if the &#8220;CEO&#8221; requests an exceptional payment, ask an agreed question whose answer isn&#8217;t on the public internet.<\/li>\n<li>Train with real examples: one 30-minute session walking through actual cases raises alertness more than any policy memo.<\/li>\n<\/ol>\n<h2 id=\"how-do-e-invoicing-rails-and-ai-strengthen-the-defence\">How do e-invoicing rails and AI strengthen the defence?<\/h2>\n<p>A fake invoice lives in an email attachment. When your invoices travel through an authenticated e-invoicing channel, such as your national operator network or <a href=\"https:\/\/bilnex.io\/en\/peppol-compliant-invoicing-software\/\">the Peppol network<\/a>, the sender&#8217;s identity is verified by the network, and the &#8220;same invoice, new IBAN&#8221; trick loses its surface. It doesn&#8217;t replace every PDF overnight, but each supplier you move to e-invoicing is one email-fraud channel closed.<\/p>\n<p>The second layer is a machine that never gets bored by routine: AI compares every incoming invoice&#8217;s details, amounts and rhythm against history and flags the outliers before payment day. We describe how that works in <a href=\"https:\/\/bilnex.io\/ai-arvepettuste-tuvastamine\/\">AI-based invoice fraud detection<\/a>.<\/p>\n<h2 id=\"summary\">Summary<\/h2>\n<p>Deepfake fraud is a mainstream business risk in 2026: the losses run to hundreds of millions and the human eye alone doesn&#8217;t catch a quality fake. The defence is process: call-backs on known numbers, separate verification of IBAN changes, dual approval, a code question and training, plus a technical layer of authenticated e-invoice channels and AI anomaly checks. None of those steps costs more than one successful fraud.<\/p>\n<p>Try Bilnex&#8217;s free invoice processing, where AI checks every incoming invoice&#8217;s details.<\/p>\n<h2>FAQ<\/h2>\n<h3>How common is deepfake fraud in 2026?<\/h3>\n<p>The FBI&#8217;s Internet Crime Complaint Center logged 22,364 AI-related fraud complaints for 2025 with adjusted losses of $893 million, in data published in April 2026. The best-known case is a deepfake video call that led a finance employee to transfer $25.6 million.<\/p>\n<h3>Can people reliably spot deepfakes?<\/h3>\n<p>No. In controlled tests, people identify high-quality deepfake video with an average accuracy of just 24.5%. That&#8217;s why effective defence rests on process \u2014 like call-backs on previously known numbers \u2014 rather than on recognition.<\/p>\n<h3>What is the single most effective control?<\/h3>\n<p>The call-back rule: verify every payment or bank-detail change request in a second channel using a previously known contact. It defeats voice clones, deepfake video and forged emails alike, because the fraudster doesn&#8217;t control your second channel.<\/p>\n<h3>How does e-invoicing reduce fraud risk?<\/h3>\n<p>In an authenticated e-invoicing channel such as the Peppol network, the sender&#8217;s identity is verified by the network itself, so the forged-PDF-with-a-swapped-IBAN trick doesn&#8217;t work. Every supplier moved to e-invoicing closes one email-fraud channel.<\/p>\n<p><script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@type\":\"FAQPage\",\"mainEntity\":[{\"@type\":\"Question\",\"name\":\"How common is deepfake fraud in 2026?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"The FBI's Internet Crime Complaint Center logged 22,364 AI-related fraud complaints for 2025 with adjusted losses of $893 million, in data published in April 2026. The best-known case is a deepfake video call that led a finance employee to transfer $25.6 million.\"}},{\"@type\":\"Question\",\"name\":\"Can people reliably spot deepfakes?\",\"acceptedAnswer\":{\"@type\":\"Answer\",\"text\":\"No. In controlled tests, people identify high-quality deepfake video with an average accuracy of just 24.5%. 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Every supplier moved to e-invoicing closes one email-fraud channel.\"}}]}<\/script><\/p>\n<\/div>\n<\/div>\n<\/article>\n<style>.ce-answer{max-width:760px;margin:0 auto;padding:8px 20px 48px;line-height:1.65}.ce-answer h2{margin:1.5em 0 .55em;line-height:1.3}.ce-answer h3{margin:1.1em 0 .45em}.ce-answer p{margin:0 0 1em}.ce-answer ul,.ce-answer ol{margin:0 0 1em;padding-left:1.4em}.ce-answer li{margin:.25em 0}.ce-answer table{border-collapse:collapse;width:100%;margin:0 0 1.2em}.ce-answer th,.ce-answer td{border:1px solid #ddd;padding:8px 10px;text-align:left}.ce-answer blockquote{border-left:3px solid #ccc;margin:1em 0;padding:6px 14px}.ce-answer sup a{text-decoration:none}.ce-answer-title{margin:.6em 0 .4em}<\/style>\n","protected":false},"excerpt":{"rendered":"<p>FBI laski teko\u00e4lyyn liittyvien petosten tappiot $893 miljoonaksi euroksi vuonna 2025, ja ihmiset havaitsevat korkealaatuisia deepfake-v\u00e4\u00e4renn\u00f6ksi\u00e4 vain 24,5%-tapauksissa. Toimiva puolustus perustuu prosessiin, ei ter\u00e4v\u00e4\u00e4n katseeseen.<\/p>","protected":false},"author":8,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-29007","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bilnex.io\/fi\/wp-json\/wp\/v2\/pages\/29007","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bilnex.io\/fi\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bilnex.io\/fi\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bilnex.io\/fi\/wp-json\/wp\/v2\/users\/8"}],"replies":[{"embeddable":true,"href":"https:\/\/bilnex.io\/fi\/wp-json\/wp\/v2\/comments?post=29007"}],"version-history":[{"count":1,"href":"https:\/\/bilnex.io\/fi\/wp-json\/wp\/v2\/pages\/29007\/revisions"}],"predecessor-version":[{"id":29067,"href":"https:\/\/bilnex.io\/fi\/wp-json\/wp\/v2\/pages\/29007\/revisions\/29067"}],"wp:attachment":[{"href":"https:\/\/bilnex.io\/fi\/wp-json\/wp\/v2\/media?parent=29007"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}