{"id":895,"date":"2026-10-22T14:56:00","date_gmt":"2026-10-22T03:56:00","guid":{"rendered":"https:\/\/nexiant.ai\/resources\/blogs\/?p=895"},"modified":"2026-10-27T15:07:30","modified_gmt":"2026-10-27T04:07:30","slug":"insights-hkma-remote-onboarding-circular-transaction-monitoring","status":"publish","type":"post","link":"https:\/\/nexiant.ai\/resources\/blogs\/insights-hkma-remote-onboarding-circular-transaction-monitoring\/","title":{"rendered":"Why the HKMA\u2019s September 2026 Remote Onboarding Circular Turns Account Limits Into a Monitoring Control"},"content":{"rendered":"\n<style>\n  .nx-blog * { box-sizing: border-box; margin: 0; padding: 0; }\n  .nx-blog { font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif; font-size: 16px; line-height: 1.75; color: #1a1a2e; max-width: 820px; margin: 0 auto; }\n  .nx-blog h2 { font-size: 1.55rem; font-weight: 700; color: #00184C; margin: 2.5rem 0 0.75rem; padding-bottom: 0.4rem; border-bottom: 3px solid #073EA1; }\n  .nx-blog h3 { font-size: 1.15rem; 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border-radius: 12px; padding: 2rem; text-align: center; margin-top: 2.5rem; }\n  .nx-cta h3 { color: #fff; font-size: 1.3rem; font-weight: 700; margin-bottom: 0.5rem; }\n  .nx-cta p { color: #AEC9FF; font-size: 0.95rem; margin-bottom: 1.25rem; }\n  .nx-cta a { display: inline-block; background: #E11A1A; color: #fff; font-weight: 700; font-size: 0.95rem; padding: 0.7rem 1.8rem; border-radius: 6px; text-decoration: none; transition: background 0.2s; }\n  .nx-cta a:hover { background: #A30000; }\n  .nx-divider { border: none; border-top: 1px solid #e0e7f5; margin: 2rem 0; }\n  .nx-disclaimer { font-size: 0.8rem; color: #888; font-style: italic; text-align: center; margin-top: 1.5rem; }\n\n  @media (max-width: 720px) {\n    .nx-flow { grid-template-columns: 1fr; }\n    .nx-flow-step::after { content: \"\u2193\"; right: 50%; top: auto; bottom: -18px; transform: translateX(50%); }\n    .nx-stack-layer { flex-direction: column; }\n  }\n<\/style>\n\n\n<div class=\"nx-blog\">\n\n  <!-- HERO -->\n  <div class=\"nx-hero\">\n    <span class=\"nx-tag\">Transaction Monitoring &nbsp;\u00b7&nbsp; October 2026 &nbsp;\u00b7&nbsp; Hong Kong<\/span>\n    <p class=\"nx-meta\">The circular does more than tighten identity checks. By tying account limits to actual usage and ongoing behaviour, it makes onboarding and monitoring one control.<\/p>\n  <\/div>\n\n  <!-- INTRODUCTION -->\n  <p>The <strong>HKMA remote onboarding circular<\/strong> reads as an anti-fraud and monitoring document as much as an identity one. On 3 September 2026 the Hong Kong Monetary Authority wrote to all authorised institutions and stored value facility (SVF) licensees to <a href=\"https:\/\/brdr.hkma.gov.hk\/eng\/doc-ldg\/docId\/getPdf\/20260902-1-EN\/20260902-1-EN.pdf\" class=\"nx-inline-link\" target=\"_blank\" rel=\"noopener\">update its expectations for remote onboarding of individual customers<\/a>. The circular supersedes the HKMA\u2019s circulars of 1 February 2019 and 24 May 2021.<\/p>\n  <p>Its premise is that remote onboarding is now an integral part of AML\/CFT controls, and that AI-driven automation and deepfake technology have raised the potential for impersonation, online fraud and the mule-account networks that follow, at much greater scale. The circular sets no deadline, but it asks for a comprehensive review of remote onboarding solutions and of the systems and oversight around them.<\/p>\n  <p>For a monitoring team the notable sentence is not about identity. It says a tiered approach lets account features, functionality and transaction limits be scaled dynamically and adjusted to actual usage and ongoing customer behaviour. That is a monitoring decision made at product level, and it needs an owner.<\/p>\n\n  <!-- TOP VISUAL -->\n  <div class=\"nx-media\">\n    <img decoding=\"async\" src=\"data:image\/svg+xml,%3Csvg xmlns='http:\/\/www.w3.org\/2000\/svg' width='820' height='460' viewBox='0 0 820 460'%3E%3Cdefs%3E%3ClinearGradient id='bg' x1='0' y1='0' x2='1' y2='1'%3E%3Cstop offset='0' stop-color='%2300184C'\/%3E%3Cstop offset='1' stop-color='%23073EA1'\/%3E%3C\/linearGradient%3E%3C\/defs%3E%3Crect width='820' height='460' rx='22' fill='url(%23bg)'\/%3E%3Ctext x='410' y='70' text-anchor='middle' font-family='Arial, sans-serif' font-size='30' font-weight='700' fill='%23ffffff'%3EOnboarding to monitoring%3C\/text%3E%3Crect x='86' y='132' width='165' height='92' rx='18' fill='%23ffffff' opacity='0.92'\/%3E%3Crect x='328' y='132' width='165' height='92' rx='18' fill='%23ffffff' opacity='0.88'\/%3E%3Crect x='570' y='132' width='165' height='92' rx='18' fill='%23ffffff' opacity='0.84'\/%3E%3Crect x='207' y='272' width='165' height='92' rx='18' fill='%23ffffff' opacity='0.86'\/%3E%3Crect x='449' y='272' width='165' height='92' rx='18' fill='%23ffffff' opacity='0.90'\/%3E%3Ccircle cx='168' cy='162' r='16' fill='%23073EA1'\/%3E%3Ccircle cx='410' cy='162' r='16' fill='%23073EA1'\/%3E%3Ccircle cx='652' cy='162' r='16' fill='%23073EA1'\/%3E%3Ccircle cx='290' cy='302' r='16' fill='%23073EA1'\/%3E%3Ccircle cx='531' cy='302' r='16' fill='%23073EA1'\/%3E%3Ctext x='168' y='198' text-anchor='middle' font-family='Arial, sans-serif' font-size='17' font-weight='700' fill='%2300184C'%3EAuthenticate%3C\/text%3E%3Ctext x='410' y='198' text-anchor='middle' font-family='Arial, sans-serif' font-size='17' font-weight='700' fill='%2300184C'%3EMatch%3C\/text%3E%3Ctext x='652' y='198' text-anchor='middle' font-family='Arial, sans-serif' font-size='17' font-weight='700' fill='%2300184C'%3ETier%3C\/text%3E%3Ctext x='290' y='338' text-anchor='middle' font-family='Arial, sans-serif' font-size='17' font-weight='700' fill='%2300184C'%3EMonitor%3C\/text%3E%3Ctext x='531' y='338' text-anchor='middle' font-family='Arial, sans-serif' font-size='17' font-weight='700' fill='%2300184C'%3ERecalibrate%3C\/text%3E%3Ctext x='410' y='410' text-anchor='middle' font-family='Arial, sans-serif' font-size='20' font-weight='600' fill='%23AEC9FF'%3EOne control chain%3C\/text%3E%3C\/svg%3E\" alt=\"HKMA remote onboarding circular visual showing the control chain from identity authentication and identity matching through tiered account limits and ongoing monitoring to recalibration using new fraud intelligence\" loading=\"lazy\" width=\"820\" height=\"460\">\n    <p class=\"nx-caption\">The circular\u2019s two principles feed a tiering decision, and ongoing behaviour feeds the tiers back, so onboarding and monitoring work as one chain.<\/p>\n  <\/div>\n\n  <!-- QUICK ANSWER -->\n  <div class=\"nx-callout\">\n    <div class=\"nx-callout-title\">Quick answer<\/div>\n    <p>The HKMA circular of 3 September 2026 supersedes its 2019 and 2021 circulars on remote onboarding of individuals. It names AI-driven automation and deepfakes as raising impersonation, online fraud and mule-account risk, expects remote onboarding solutions to be continually updated against two principles, identity authentication and identity matching, and gives tiered account features and limits that adjust to actual usage and ongoing behaviour as an example of risk-based design. It asks authorised institutions and SVF licensees to review their solutions, systems and oversight.<\/p>\n  <\/div>\n\n  <h2 id=\"what-the-circular-changes-for-remote-onboarding\"><span class=\"ez-toc-section\" id=\"What_the_circular_changes_for_remote_onboarding\"><\/span>What the circular changes for remote onboarding<span class=\"ez-toc-section-end\"><\/span><\/h2>\n  <p>The circular sets two core principles that remote onboarding solutions must stay effective and compliant with through a continual programme of updates and recalibration. Identity authentication means taking appropriate measures so that the document, data or information obtained is reliable, including using technology to ascertain the genuineness of the identity document. Identity matching means using technology to link the customer incontrovertibly to that identity.<\/p>\n  <p>The circulars on remote onboarding of corporate customers (24 September 2020) and on feedback from thematic reviews of remote onboarding controls (3 June 2020) continue to apply and are to be read with it. It is a letter setting out the HKMA\u2019s regulatory expectations, not legislation.<\/p>\n  <div class=\"nx-table-wrap\">\n    <table class=\"nx-table\">\n      <thead>\n        <tr><th>Element of the circular<\/th><th>What it says<\/th><th>What monitoring should take from it<\/th><\/tr>\n      <\/thead>\n      <tbody>\n        <tr>\n          <td><strong>Threat picture<\/strong><\/td>\n          <td>AI-driven automation and deepfakes increase impersonation, online fraud and mule-account networks at scale<\/td>\n          <td><span class=\"nx-badge nx-badge--blue\">Treat onboarding-stage risk signals as inputs to ongoing monitoring, not a closed decision<\/span><\/td>\n        <\/tr>\n        <tr>\n          <td><strong>Identity authentication<\/strong><\/td>\n          <td>Reliability of the document, data or information, with technology to ascertain genuineness<\/td>\n          <td><span class=\"nx-badge nx-badge--blue\">Keep the authentication result with the customer record<\/span><\/td>\n        <\/tr>\n        <tr>\n          <td><strong>Identity matching<\/strong><\/td>\n          <td>Technology that links the customer incontrovertibly to the identity provided<\/td>\n          <td><span class=\"nx-badge nx-badge--blue\">Keep match outcomes and exceptions visible to monitoring and investigation<\/span><\/td>\n        <\/tr>\n        <tr>\n          <td><strong>Risk-based design<\/strong><\/td>\n          <td>Tiered features, functionality and limits adjusted to actual usage and ongoing behaviour<\/td>\n          <td><span class=\"nx-badge nx-badge--blue\">Define which behaviours move a customer between tiers, and who approves<\/span><\/td>\n        <\/tr>\n        <tr>\n          <td><strong>Review<\/strong><\/td>\n          <td>Comprehensive review using the latest scam intelligence from the HKMA and the Hong Kong Police Force<\/td>\n          <td><span class=\"nx-badge nx-badge--blue\">Feed new typologies into rules and models on a recorded cycle<\/span><\/td>\n        <\/tr>\n      <\/tbody>\n    <\/table>\n  <\/div>\n\n  <h2 id=\"why-onboarding-evidence-becomes-a-monitoring-signal\"><span class=\"ez-toc-section\" id=\"Why_onboarding_evidence_becomes_a_monitoring_signal\"><\/span>Why onboarding evidence becomes a monitoring signal<span class=\"ez-toc-section-end\"><\/span><\/h2>\n  <p>The HKMA\u2019s June 2026 report on AI in fighting financial crime shows what this looks like in practice. It notes that remote account opening reached 74% of all accounts opened in the fourth quarter of 2025. In one case study a digital bank found the same unknown individual in the facial images of several fraudulent account holders, added images of the suspected controller to an internal watch list, and reported cutting transaction monitoring alerts by 25% because bad actors were stopped at the door. In another a large bank built an application engine that returns pass, reject or review at onboarding and used review outcomes to tune its models.<\/p>\n  <p>These outcomes are reported by the banks in the HKMA publication and have not been independently verified.<\/p>\n  <div class=\"nx-grid\">\n    <div class=\"nx-card\">\n      <div class=\"nx-card-icon\"><svg viewBox=\"0 0 20 20\"><path d=\"M10 1L3 5v6c0 4.25 3 8.22 7 9 4-.78 7-4.75 7-9V5l-7-4zm0 2.18l5 2.78V11c0 3.13-2.18 6.07-5 6.93C7.18 17.07 5 14.13 5 11V5.96l5-2.78z\"><\/path><\/svg><\/div>\n      <h4>Watch list from images<\/h4>\n      <p>A suspected controller\u2019s image is added to an internal list after one case.<\/p>\n    <\/div>\n    <div class=\"nx-card\">\n      <div class=\"nx-card-icon\"><svg viewBox=\"0 0 20 20\"><path d=\"M3 3h14v2H3zm0 4h14v2H3zm0 4h10v2H3zm0 4h7v2H3z\"><\/path><\/svg><\/div>\n      <h4>Pass, reject or review<\/h4>\n      <p>An onboarding engine scores applications against risk indicators.<\/p>\n    <\/div>\n    <div class=\"nx-card\">\n      <div class=\"nx-card-icon\"><svg viewBox=\"0 0 20 20\"><path d=\"M10 2a8 8 0 100 16A8 8 0 0010 2zm1 11H9V9h2v4zm0-6H9V5h2v2z\"><\/path><\/svg><\/div>\n      <h4>Reviews tune the models<\/h4>\n      <p>Human review outcomes feed back into model tuning.<\/p>\n    <\/div>\n    <div class=\"nx-card\">\n      <div class=\"nx-card-icon\"><svg viewBox=\"0 0 20 20\"><path d=\"M13 6a3 3 0 11-6 0 3 3 0 016 0zm5 10a7 7 0 00-14 0h14z\"><\/path><\/svg><\/div>\n      <h4>Alerts fall upstream<\/h4>\n      <p>Stopping bad actors at onboarding reduced later alerts, as the bank reported.<\/p>\n    <\/div>\n  <\/div>\n\n  <h2 id=\"tiered-limits-as-a-control-that-moves-with-behaviour\"><span class=\"ez-toc-section\" id=\"Tiered_limits_as_a_control_that_moves_with_behaviour\"><\/span>Tiered limits as a control that moves with behaviour<span class=\"ez-toc-section-end\"><\/span><\/h2>\n  <p>The circular\u2019s tiering example treats limits as a live setting. A customer opens an account at a tier set from the assessed ML\/TF risk profile, behaviour is observed, and limits widen or tighten. The circular does not say who decides, how quickly, or how the reason is recorded. Those are matters for the bank\u2019s own policy, and they are the points at which onboarding, fraud and AML teams share a decision.<\/p>\n  <div class=\"nx-flow\">\n    <div class=\"nx-flow-step\">\n      <div class=\"nx-flow-number\">1<\/div>\n      <h4>Open at a tier<\/h4>\n      <p>Features and limits are set from the assessed risk profile.<\/p>\n    <\/div>\n    <div class=\"nx-flow-step\">\n      <div class=\"nx-flow-number\">2<\/div>\n      <h4>Observe behaviour<\/h4>\n      <p>Usage and ongoing behaviour are measured against the tier.<\/p>\n    <\/div>\n    <div class=\"nx-flow-step\">\n      <div class=\"nx-flow-number\">3<\/div>\n      <h4>Adjust limits<\/h4>\n      <p>Limits widen or tighten under a documented rule or a recorded decision.<\/p>\n    <\/div>\n    <div class=\"nx-flow-step\">\n      <div class=\"nx-flow-number\">4<\/div>\n      <h4>Recalibrate<\/h4>\n      <p>Outcomes feed back into onboarding and monitoring rules.<\/p>\n    <\/div>\n  <\/div>\n\n  <h2 id=\"mule-networks-sit-across-fraud-and-aml\"><span class=\"ez-toc-section\" id=\"Mule_networks_sit_across_fraud_and_AML\"><\/span>Mule networks sit across fraud and AML<span class=\"ez-toc-section-end\"><\/span><\/h2>\n  <p>The circular links deepfakes to mule-account networks. In the June 2026 report a large bank describes a business-led \u2018Two Masters Model\u2019 in which prevention tools freeze payments in near real time while investigation teams support, and in which a customer risk score can trigger a due diligence review, an unusual activity report or payment controls. The report says a machine learning model re-rated 42% of customers from medium to high risk, and that 70% of these customers were escalated and 40% exited. The bank reported these figures itself.<\/p>\n  <div class=\"nx-signal-panel\">\n    <h3>Signs onboarding and monitoring are still separate<\/h3>\n    <p>Each makes the circular\u2019s tiering example hard to operate.<\/p>\n\n    <div class=\"nx-signal-grid\">\n      <div class=\"nx-signal\">\n        <strong>Authentication results not retained<\/strong>\n        <span>Monitoring cannot see how strongly identity was established.<\/span>\n      <\/div>\n      <div class=\"nx-signal\">\n        <strong>Limits set once<\/strong>\n        <span>Tiers are assigned at opening and never revisited.<\/span>\n      <\/div>\n      <div class=\"nx-signal\">\n        <strong>Separate fraud and AML scores<\/strong>\n        <span>Two teams hold two views of the same mule risk.<\/span>\n      <\/div>\n      <div class=\"nx-signal\">\n        <strong>No feedback loop<\/strong>\n        <span>Review and investigation outcomes do not return to onboarding rules.<\/span>\n      <\/div>\n    <\/div>\n  <\/div>\n\n  <h2 id=\"four-questions-for-the-review-the-hkma-has-asked-for\"><span class=\"ez-toc-section\" id=\"Four_questions_for_the_review_the_HKMA_has_asked_for\"><\/span>Four questions for the review the HKMA has asked for<span class=\"ez-toc-section-end\"><\/span><\/h2>\n  <p>The circular asks authorised institutions and SVF licensees to review their remote onboarding solutions and the systems and oversight around them, taking account of the latest intelligence shared by the HKMA and the Hong Kong Police Force. Four questions turn that into evidence.<\/p>\n  <div class=\"nx-obligations\">\n    <div class=\"nx-obl-item\">\n      <h4>Can monitoring see onboarding evidence?<\/h4>\n      <p>Authentication and matching outcomes sit in the customer record that monitoring uses.<\/p>\n    <\/div>\n    <div class=\"nx-obl-item\">\n      <h4>Who owns each tier?<\/h4>\n      <p>Named owners for limits, with a record of why a customer moved.<\/p>\n    <\/div>\n    <div class=\"nx-obl-item\">\n      <h4>How does new intelligence enter?<\/h4>\n      <p>A recorded path from HKMA and Police intelligence into rules and models.<\/p>\n    <\/div>\n    <div class=\"nx-obl-item\">\n      <h4>Is oversight visible to senior management?<\/h4>\n      <p>The circular refers to active senior management oversight, so management information should reach senior management.<\/p>\n    <\/div>\n  <\/div>\n\n  <h2 id=\"how-nexiant-supports-onboarding-to-monitoring-design\"><span class=\"ez-toc-section\" id=\"How_Nexiant_supports_onboarding-to-monitoring_design\"><\/span>How Nexiant supports onboarding-to-monitoring design<span class=\"ez-toc-section-end\"><\/span><\/h2>\n  <p>FraudShield, Nexiant\u2019s specialist transaction-monitoring brand, is built around real-time detection, configurable rule logic and case-management workflows. For onboarding-to-monitoring design, the useful tests are whether onboarding outcomes can be attached to the customer record that monitoring uses, whether a limit change can be driven by a documented rule, and whether investigation outcomes can return to rule configuration. Nexiant brings these questions together across identity, fraud and anti-money laundering as a design discipline, not as a claim about one integrated system.<\/p>\n\n\n  <hr class=\"nx-divider\">\n\n  <h2 id=\"frequently-asked-questions\"><span class=\"ez-toc-section\" id=\"Frequently_Asked_Questions\"><\/span>Frequently Asked Questions<span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n  <!-- FAQ -->\n  <div class=\"nx-faq\">\n    <div class=\"nx-faq-item\">\n      <button class=\"nx-faq-q\" aria-expanded=\"false\">What is the HKMA\u2019s remote onboarding circular of 3 September 2026?<span class=\"nx-chevron\"><svg viewBox=\"0 0 10 6\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M1 1l4 4 4-4\"><\/path><\/svg><\/span><\/button>\n      <div class=\"nx-faq-a\">It is a circular to all authorised institutions and SVF licensees that updates the HKMA\u2019s expectations for remote onboarding of individual customers. It supersedes the circulars of 1 February 2019 and 24 May 2021 and names AI-driven automation and deepfake technology as raising impersonation, online fraud and mule-account risk.<\/div>\n    <\/div>\n    <div class=\"nx-faq-item\">\n      <button class=\"nx-faq-q\" aria-expanded=\"false\">What are the two core principles in the circular?<span class=\"nx-chevron\"><svg viewBox=\"0 0 10 6\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M1 1l4 4 4-4\"><\/path><\/svg><\/span><\/button>\n      <div class=\"nx-faq-a\">Identity authentication, which means taking appropriate measures so that the document, data or information obtained is reliable, including using technology to ascertain the genuineness of the identity document, and identity matching, which means using technology to link the customer incontrovertibly to the identity provided.<\/div>\n    <\/div>\n    <div class=\"nx-faq-item\">\n      <button class=\"nx-faq-q\" aria-expanded=\"false\">Is the HKMA circular legally binding?<span class=\"nx-chevron\"><svg viewBox=\"0 0 10 6\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M1 1l4 4 4-4\"><\/path><\/svg><\/span><\/button>\n      <div class=\"nx-faq-a\">It sets out the HKMA\u2019s regulatory expectations in a letter to authorised institutions and SVF licensees. It is supervisory guidance, not legislation.<\/div>\n    <\/div>\n    <div class=\"nx-faq-item\">\n      <button class=\"nx-faq-q\" aria-expanded=\"false\">Does the circular set a deadline for the review?<span class=\"nx-chevron\"><svg viewBox=\"0 0 10 6\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M1 1l4 4 4-4\"><\/path><\/svg><\/span><\/button>\n      <div class=\"nx-faq-a\">No deadline appears in the circular. It asks banks and SVF licensees to conduct a comprehensive review of their remote onboarding solutions and of the systems and oversight around them, taking account of the latest fraud and scam intelligence shared by the HKMA and the Hong Kong Police Force.<\/div>\n    <\/div>\n    <div class=\"nx-faq-item\">\n      <button class=\"nx-faq-q\" aria-expanded=\"false\">How do tiered account limits relate to transaction monitoring?<span class=\"nx-chevron\"><svg viewBox=\"0 0 10 6\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M1 1l4 4 4-4\"><\/path><\/svg><\/span><\/button>\n      <div class=\"nx-faq-a\">The circular gives a tiered approach as an example of risk-based design, in which account features, functionality and transaction limits are scaled dynamically and adjusted to actual usage and ongoing customer behaviour. Because the limits respond to behaviour, they depend on the same signals that transaction monitoring uses.<\/div>\n    <\/div>\n  <\/div>\n\n  <!-- CTA -->\n  <div class=\"nx-cta\">\n    <h3>Connect onboarding to monitoring<\/h3>\n    <p>Speak with a Nexiant expert about linking identity, fraud and anti-money laundering controls across onboarding and monitoring, or explore FraudShield\u2019s case-management and rule-configuration capability.<\/p>\n    <a href=\"https:\/\/nexiant.ai\/contact-us\/\">Speak with an expert<\/a>\n  <\/div>\n\n  <p class=\"nx-disclaimer\">This article was accurate at the time of publication in October 2026 and is intended for general informational purposes only. It does not constitute legal, regulatory or compliance advice. Organisations should seek qualified professional guidance in relation to their specific obligations.<\/p>\n\n<\/div>\n\n<script>\n  document.querySelectorAll('.nx-faq-q').forEach(function(btn) {\n    btn.addEventListener('click', function() {\n      var expanded = this.getAttribute('aria-expanded') === 'true';\n      this.setAttribute('aria-expanded', !expanded);\n      this.nextElementSibling.classList.toggle('open', !expanded);\n    });\n  });\n<\/script>\n\n<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [\n    {\n      \"@type\": \"Question\",\n      \"name\": \"What is the HKMA\u2019s remote onboarding circular of 3 September 2026?\",\n      \"acceptedAnswer\": {\n        \"@type\": \"Answer\",\n        \"text\": \"It is a circular to all authorised institutions and SVF licensees that updates the HKMA\u2019s expectations for remote onboarding of individual customers. 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Because the limits respond to behaviour, they depend on the same signals that transaction monitoring uses.\"\n      }\n    }\n  ]\n}\n<\/script>\n","protected":false},"excerpt":{"rendered":"<p>Transaction Monitoring &nbsp;\u00b7&nbsp; October 2026 &nbsp;\u00b7&nbsp; Hong Kong The circular does more than tighten identity checks. By tying account limits to actual usage and ongoing behaviour, it makes onboarding and monitoring one control. The HKMA remote onboarding circular reads as an anti-fraud and monitoring document as much as an identity one. On 3 September 2026 [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":896,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_aioseo_title":"HKMA Remote Onboarding Circular and Monitoring | Nexiant","_aioseo_description":"The HKMA\u2019s 3 September 2026 circular names deepfakes and ties account limits to customer behaviour. 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