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      <title>Chaos and Order</title>
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      <language>ko</language>
      <managingEditor>fjvbn2003@gmail.com (Youngju Kim)</managingEditor>
      <webMaster>fjvbn2003@gmail.com (Youngju Kim)</webMaster>
      <lastBuildDate>Mon, 25 May 2026 00:00:00 GMT</lastBuildDate>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-25-anti-fraud-financial-security-feedzai-featurespace-sift-forter-riskified-stripe-radar-biocatch-socure-jumio-2026-deep-dive.en</guid>
    <title>Financial Security + Anti-Fraud 2026 Deep Dive — Feedzai, Featurespace (Visa), Sift, Forter, Riskified, Stripe Radar, BioCatch, Socure, Jumio</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-25-anti-fraud-financial-security-feedzai-featurespace-sift-forter-riskified-stripe-radar-biocatch-socure-jumio-2026-deep-dive.en</link>
    <description>In 2026, global fraud losses approach `$2T global fraud loss`, with roughly 70% of card payment fraud occurring in card-not-present (CNP). Feedzai, Featurespace (acquired by Visa), Sift, Forter, Riskified, Stripe Radar, and Adyen RevenueProtect cover payment fraud; NICE Actimize and FICO Falcon handle bank transaction monitoring; BioCatch, Socure, and Jumio own identity and behavior. In Korea, SuperBee anomaly detection, KB STAR Fraud Detection, Shinhan SAFE, Woori ARMS, and SecuLetter fight voice phishing losses of `2조원/yr`; in Japan, NEC Fraud Detection, NTT Data Anti-fraud, SMBC FraudDetection, and Rakuten BlueGate defend against 不正利用 `400億엔/yr`. This piece maps CNP, ATO, scam-type fraud (voice phishing, romance scams), GBM/GNN ML detection, behavioral biometrics, device fingerprinting, transaction graphs, 3DS 2.0 + delegated authentication, FIDO2 passwordless, the `&lt;50ms decisioning` SLA, KR/JP cases, regulation, and benchmarks in one read.</description>
    <pubDate>Mon, 25 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>anti-fraud</category><category>financial-security</category><category>feedzai</category><category>featurespace-visa</category><category>sift</category><category>forter</category><category>riskified</category><category>stripe-radar</category><category>adyen-revenue-protect</category><category>nice-actimize-fraud</category><category>fico-falcon</category><category>biocatch</category><category>socure</category><category>jumio</category><category>cnp-fraud</category><category>ato</category><category>fido2</category><category>voice-phishing</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-25-anti-fraud-financial-security-feedzai-featurespace-sift-forter-riskified-stripe-radar-biocatch-socure-jumio-2026-deep-dive.ja</guid>
    <title>金融セキュリティ + Anti-fraud 2026 深掘り — Feedzai・Featurespace(Visa買収)・Sift・Forter・Riskified・Stripe Radar・BioCatch・Socure・Jumio ガイド</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-25-anti-fraud-financial-security-feedzai-featurespace-sift-forter-riskified-stripe-radar-biocatch-socure-jumio-2026-deep-dive.ja</link>
    <description>2026年のグローバル詐欺損失は `$2T global fraud loss` に達し、カード決済不正の約70%が card-not-present(CNP)で発生する。Feedzai・Featurespace(Visa買収)・Sift・Forter・Riskified・Stripe Radar・Adyen RevenueProtect が決済不正を、NICE Actimize と FICO Falcon が銀行取引モニタリングを、BioCatch・Socure・Jumio が本人確認と行動認証を担う。韓国では SuperBee の異常取引検知、KB STAR Fraud Detection、新韓 SAFE、ウリィ ARMS、SecuLetter がボイスフィッシング `2조원/yr` の被害と闘い、日本では NEC Fraud Detection、NTT Data Anti-fraud、三井住友 FraudDetection、楽天 BlueGate が 不正利用 `400億엔/yr` を防ぐ。本記事は CNP・ATO・応用詐欺(ボイスフィッシング、ロマンス詐欺)、GBM/GNN 機械学習検知、行動バイオメトリクス、デバイスフィンガープリント、トランザクショングラフ、3DS 2.0 + delegated authentication、FIDO2 パスワードレス、`&lt;50ms decisioning` SLA、KR/JP 事例、規制とベンチマークを一読で整理する。</description>
    <pubDate>Mon, 25 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>anti-fraud</category><category>financial-security</category><category>feedzai</category><category>featurespace-visa</category><category>sift</category><category>forter</category><category>riskified</category><category>stripe-radar</category><category>adyen-revenue-protect</category><category>nice-actimize-fraud</category><category>fico-falcon</category><category>biocatch</category><category>socure</category><category>jumio</category><category>cnp-fraud</category><category>ato</category><category>fido2</category><category>voice-phishing</category>
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    <guid>https://www.youngju.dev/blog/culture/2026-05-25-anti-fraud-financial-security-feedzai-featurespace-sift-forter-riskified-stripe-radar-biocatch-socure-jumio-2026-deep-dive</guid>
    <title>금융보안 + Anti-fraud 2026 심층 — Feedzai·Featurespace(Visa)·Sift·Forter·Riskified·Stripe Radar·BioCatch·Socure·Jumio 가이드</title>
    <link>https://www.youngju.dev/blog/culture/2026-05-25-anti-fraud-financial-security-feedzai-featurespace-sift-forter-riskified-stripe-radar-biocatch-socure-jumio-2026-deep-dive</link>
    <description>2026년 글로벌 사기 손실은 `$2T global fraud loss`에 도달하고, 카드 결제의 약 70%가 card-not-present(CNP)에서 발생한다. Feedzai·Featurespace(Visa 인수)·Sift·Forter·Riskified·Stripe Radar·Adyen RevenueProtect가 결제 사기를, NICE Actimize와 FICO Falcon이 은행 거래 모니터링을, BioCatch·Socure·Jumio가 신원·행동 인증을 맡는다. 한국에서는 SuperBee의 이상거래 탐지, KB STAR Fraud Detection, 신한 SAFE, 우리 ARMS, 시큐레터가 보이스피싱 `2조원/yr` 피해와 싸우고, 일본에서는 NEC Fraud Detection, NTT Data Anti-fraud, 三井住友 FraudDetection, 楽天 BlueGate가 不正利用 `400億엔/yr`을 막는다. 이 글은 CNP·ATO·응용 사기(보이스피싱·로맨스 스캠), GBM/GNN 기반 ML 탐지, behavioral biometrics, device fingerprinting, transaction graph, 3DS 2.0 + delegated authentication, FIDO2 passwordless, `&lt;50ms decisioning` SLA, KR/JP 사례, 규제와 벤치마크를 한 호흡으로 정리한다.</description>
    <pubDate>Mon, 25 May 2026 00:00:00 GMT</pubDate>
    <author>fjvbn2003@gmail.com (Youngju Kim)</author>
    <category>anti-fraud</category><category>financial-security</category><category>feedzai</category><category>featurespace-visa</category><category>sift</category><category>forter</category><category>riskified</category><category>stripe-radar</category><category>adyen-revenue-protect</category><category>nice-actimize-fraud</category><category>fico-falcon</category><category>biocatch</category><category>socure</category><category>jumio</category><category>cnp-fraud</category><category>ato</category><category>fido2</category><category>voice-phishing</category>
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