{"id":6007,"date":"2026-06-30T18:08:25","date_gmt":"2026-06-30T18:08:25","guid":{"rendered":"https:\/\/truthtechnologies.com\/?page_id=6007"},"modified":"2026-07-02T13:45:52","modified_gmt":"2026-07-02T13:45:52","slug":"anatomy-of-a-false-positive","status":"publish","type":"page","link":"https:\/\/truthtechnologies.com\/es\/anatomy-of-a-false-positive\/","title":{"rendered":"Anatom\u00eda de un falso positivo"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"6007\" class=\"elementor elementor-6007\" data-elementor-post-type=\"page\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-b7d41b3 elementor-section-full_width elementor-section-height-default elementor-section-height-default\" data-id=\"b7d41b3\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-3b55bc3\" data-id=\"3b55bc3\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-85e8009 elementor-widget__width-inherit elementor-widget elementor-widget-html\" data-id=\"85e8009\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<link href=\"https:\/\/fonts.googleapis.com\/css2?family=Montserrat:ital,wght@0,400;0,500;0,600;0,700;1,400;1,600;1,700&display=swap\" rel=\"stylesheet\">\n\n<style>\n\/* =====================================================\n   ANATOMY OF A FALSE POSITIVE \u2014 LEADERSHIP SERIES\n   Matches stale data page design system exactly.\n   ===================================================== *\/\n\n.afp { font-family: 'Montserrat', Arial, sans-serif; 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}\n.afp .afp-sol-icon-wrap    { margin: 0 0 22px !important; }\n.afp .afp-sol-title        { margin: 0 0 12px !important; }\n.afp .afp-sol-body         { margin: 0 !important; }\n\n\/* Callout *\/\n.afp .afp-callout-accent   { margin: 0 0 24px !important; }\n.afp .afp-callout-headline { margin: 0 0 28px !important; }\n.afp .afp-callout-desc     { margin: 0 0 52px !important; }\n\n\/* Final CTA *\/\n.afp .afp-final h2         { margin: 0 auto 18px !important; }\n\n\/* Numbered\/solution grids sit directly under the section subtitle,\n   so the 56px subtitle gap controls the lead-in spacing uniformly. *\/\n<\/style>\n\n<div class=\"afp\">\n\n  <!-- =========================================\n       HERO\n       ========================================= -->\n  <section class=\"afp-hero\">\n    <div class=\"afp-wrap\">\n\n      <div class=\"afp-hero-copy\">\n        <span class=\"afp-eyebrow\">The Anatomy of a False Positive<\/span>\n        <h1>Most AML alerts are <em>false positives<\/em>. That's not just inefficient. It's dangerous.<\/h1>\n        <p class=\"afp-hero-desc\">Alert fatigue silences your team's judgment. When 95 out of 100 alerts are noise, the one that matters gets treated like the rest. Here's what drives false positives, and what Sentinel&thinsp;\u2122 does about it.<\/p>\n      <\/div>\n\n    <\/div>\n  <\/section>\n\n\n  <!-- =========================================\n       STATS BAR\n       ========================================= -->\n  <section class=\"afp-stats\">\n    <div class=\"afp-wrap\">\n      <div class=\"afp-stat\">\n        <span class=\"afp-stat-val\">95<sup>%+<\/sup><\/span>\n        <span class=\"afp-stat-label\">of AML alerts at most financial institutions are false positives<\/span>\n      <\/div>\n      <div class=\"afp-stat\">\n        <span class=\"afp-stat-val\">47 min<\/span>\n        <span class=\"afp-stat-label\">average analyst time spent investigating each individual alert<\/span>\n      <\/div>\n      <div class=\"afp-stat\">\n        <span class=\"afp-stat-val\">0.3%<\/span>\n        <span class=\"afp-stat-label\">Sentinel's confirmed false positive rate across 900+ institutions<\/span>\n      <\/div>\n      <div class=\"afp-stat\">\n        <span class=\"afp-stat-val\">Real-Time<\/span>\n        <span class=\"afp-stat-label\">how Sentinel&thinsp;\u2122 eliminates ambiguity before an alert reaches your team<\/span>\n      <\/div>\n    <\/div>\n  <\/section>\n\n\n  <!-- =========================================\n       THE PROBLEM\n       ========================================= -->\n  <section class=\"afp-problem\">\n    <div class=\"afp-wrap\">\n      <div class=\"afp-tag\">The Problem<\/div>\n      <h2 class=\"afp-h2\">Why false positives are <em>uniquely damaging<\/em> to your compliance program<\/h2>\n      <p class=\"afp-sub\">A false positive isn't just a wasted hour. When most of your team's time goes toward chasing alerts that lead nowhere, the consequences compound in ways that create real regulatory exposure.<\/p>\n      <div class=\"afp-numbered-grid\">\n\n        <div class=\"afp-num-card\">\n          <div class=\"afp-num\">01<\/div>\n          <div class=\"afp-card-h\">Alert Fatigue Degrades Analyst Accuracy<\/div>\n          <p class=\"afp-card-p\">When analysts process hundreds of false alarms daily, pattern bias sets in. Alerts from certain name origins or transaction types get dismissed reflexively, without the scrutiny they require. The genuine hit gets the same treatment as the noise.<\/p>\n        <\/div>\n\n        <div class=\"afp-num-card\">\n          <div class=\"afp-num\">02<\/div>\n          <div class=\"afp-card-h\">Real Risk Hides in the Volume<\/div>\n          <p class=\"afp-card-p\">High false positive rates create the perfect camouflage for actual financial crime. A genuine OFAC hit buried in 800 false alarms may be missed not because your program is broken, but because the volume makes it nearly impossible to see the signal clearly.<\/p>\n        <\/div>\n\n        <div class=\"afp-num-card\">\n          <div class=\"afp-num\">03<\/div>\n          <div class=\"afp-card-h\">Dismissed Alerts Create Regulatory Exposure<\/div>\n          <p class=\"afp-card-p\">When a genuine sanctions hit is dismissed as a false positive and an examiner finds it, your institution bears the liability. \"Our alert volume was too high to review each one carefully\" is not a defensible position in an enforcement action.<\/p>\n        <\/div>\n\n      <\/div>\n    <\/div>\n  <\/section>\n\n\n  <!-- =========================================\n       INSIDE THE ALERT (Anatomy)\n       ========================================= -->\n  <section class=\"afp-anatomy\">\n    <div class=\"afp-wrap\">\n      <div class=\"afp-tag\">Inside the Alert<\/div>\n      <h2 class=\"afp-h2\">The anatomy of a <em>false positive<\/em><\/h2>\n      <p class=\"afp-sub\">False positives don't happen randomly. They follow a predictable chain that begins with how a screening system is built and ends on your analyst's desk. Understanding the chain is the first step to breaking it.<\/p>\n\n      <div class=\"afp-steps\">\n\n        <div class=\"afp-step\">\n          <div class=\"afp-step-dot\">1<\/div>\n          <div>\n            <div class=\"afp-step-title\">A name match is found against a watchlist<\/div>\n            <p class=\"afp-step-body\">The screening engine compares a customer or transaction against OFAC SDN, PEP databases, or consolidated sanctions lists. A name or partial identifier matches an entry on the list.<\/p>\n          <\/div>\n        <\/div>\n\n        <div class=\"afp-step\">\n          <div class=\"afp-step-dot\">2<\/div>\n          <div>\n            <div class=\"afp-step-title\">The algorithm has no further context to work with<\/div>\n            <p class=\"afp-step-body\">Legacy screening systems match on name alone, or on a single identifier. Date of birth, nationality, entity type, and address are not cross-referenced. The system cannot distinguish between two people who share a name.<\/p>\n            <div class=\"afp-step-note\">Carlos Martinez appears on the OFAC SDN list. Your customer is also named Carlos Martinez. A single-dimension engine cannot tell the difference.<\/div>\n          <\/div>\n        <\/div>\n\n        <div class=\"afp-step\">\n          <div class=\"afp-step-dot\">3<\/div>\n          <div>\n            <div class=\"afp-step-title\">An alert fires and joins the queue<\/div>\n            <p class=\"afp-step-body\">The system generates an alert and assigns it a match score. Because the threshold is calibrated low to avoid missing true positives, a large share of borderline matches are flagged. The queue grows faster than it can be resolved.<\/p>\n          <\/div>\n        <\/div>\n\n        <div class=\"afp-step\">\n          <div class=\"afp-step-dot\">4<\/div>\n          <div>\n            <div class=\"afp-step-title\">An analyst spends 47 minutes reviewing it<\/div>\n            <p class=\"afp-step-body\">The analyst manually cross-references the customer record against the watchlist entry, checking date of birth, country, entity details, and other identifiers the screening engine did not check automatically. The investigation concludes: false positive.<\/p>\n          <\/div>\n        <\/div>\n\n        <div class=\"afp-step\">\n          <div class=\"afp-step-dot\">5<\/div>\n          <div>\n            <div class=\"afp-step-title\">The next 846 are already waiting<\/div>\n            <p class=\"afp-step-body\">The cycle repeats. Alert fatigue builds. Scrutiny decreases. And somewhere in that queue, a genuine hit is waiting to be dismissed.<\/p>\n          <\/div>\n        <\/div>\n\n      <\/div>\n\n      <!-- Alert composition bar -->\n      <div>\n        <div class=\"afp-bar-label\">Typical alert queue composition &nbsp;&#8212;&nbsp; industry average<\/div>\n        <div class=\"afp-bar-row\">\n          <div class=\"afp-bar-fp\"><span class=\"afp-bar-fp-text\">False Positives &nbsp;&#8212;&nbsp; 95% of all alerts<\/span><\/div>\n          <div class=\"afp-bar-tp\"><span class=\"afp-bar-tp-text\">5%&thinsp;TP<\/span><\/div>\n        <\/div>\n        <div class=\"afp-bar-legend\">\n          <div class=\"afp-legend-item\">\n            <div class=\"afp-legend-swatch\" style=\"background:rgba(243,115,21,0.68);\"><\/div>\n            False Positives (investigated, no actionable result)\n          <\/div>\n          <div class=\"afp-legend-item\">\n            <div class=\"afp-legend-swatch\" style=\"background:#02115E;\"><\/div>\n            True Positives (genuine sanctions or AML alerts requiring action)\n          <\/div>\n        <\/div>\n\n        <div class=\"afp-bar-sentinel\">\n          <div class=\"afp-bar-label\">With Sentinel&thinsp;\u2122 &nbsp;&#8212;&nbsp; 0.3% false positive rate<\/div>\n          <div class=\"afp-bar-sentinel-row\">\n            <div class=\"afp-bar-sentinel-tp\"><span class=\"afp-bar-sentinel-tp-text\">Genuine alerts: 99.7% of the queue warrants analyst attention<\/span><\/div>\n            <div class=\"afp-bar-sentinel-fp\"><\/div>\n          <\/div>\n        <\/div>\n      <\/div>\n\n    <\/div>\n  <\/section>\n\n\n  <!-- =========================================\n       THE REAL COST (Timeline)\n       ========================================= -->\n  <section class=\"afp-cost\">\n    <div class=\"afp-wrap\">\n      <div class=\"afp-tag\">The Real Cost<\/div>\n      <h2 class=\"afp-h2\">What happens when alert fatigue <em>goes unchecked<\/em><\/h2>\n      <p class=\"afp-sub\">Alert fatigue doesn't announce itself. It builds gradually until the consequences are visible only in hindsight, in an examination finding or a formal enforcement action.<\/p>\n\n      <div class=\"afp-timeline\">\n\n        <div class=\"afp-tl-row\">\n          <div class=\"afp-dot afp-dot-low\">Day 0<\/div>\n          <div class=\"afp-tl-content\">\n            <div class=\"afp-tl-period\">Day 0<\/div>\n            <div class=\"afp-tl-title\">New Screening Program Goes Live<\/div>\n            <p class=\"afp-tl-body\">Analysts begin working through alerts from the new screening system. Each alert receives careful scrutiny. Review times are strong and team engagement is high.<\/p>\n            <div class=\"afp-risk-tag afp-risk-low\"><span>&#9679;<\/span> Risk: Minimal<\/div>\n          <\/div>\n        <\/div>\n\n        <div class=\"afp-tl-row\">\n          <div class=\"afp-dot afp-dot-mod\">Wk 4<\/div>\n          <div class=\"afp-tl-content\">\n            <div class=\"afp-tl-period\">30 to 90 Days<\/div>\n            <div class=\"afp-tl-title\">Alert Volume Exceeds Analyst Capacity<\/div>\n            <p class=\"afp-tl-body\">The queue grows faster than it is resolved. Analysts begin prioritizing speed over depth. High-score alerts still receive thorough review, but the lower end of the queue gets less investigation per alert.<\/p>\n            <div class=\"afp-risk-tag afp-risk-mod\"><span>&#9679;<\/span> Risk: Elevated<\/div>\n          <\/div>\n        <\/div>\n\n        <div class=\"afp-tl-row\">\n          <div class=\"afp-dot afp-dot-high\">Mo 6<\/div>\n          <div class=\"afp-tl-content\">\n            <div class=\"afp-tl-period\">6 Months<\/div>\n            <div class=\"afp-tl-title\">Pattern Bias Takes Hold<\/div>\n            <p class=\"afp-tl-body\">Analysts unconsciously categorize alerts based on surface characteristics. Alerts from certain geographies or name formats are resolved faster, without full documentation. A genuine PEP match is cleared in under three minutes.<\/p>\n            <div class=\"afp-risk-tag afp-risk-high\"><span>&#9679;<\/span> Risk: High<\/div>\n          <\/div>\n        <\/div>\n\n        <div class=\"afp-tl-row\">\n          <div class=\"afp-dot afp-dot-crit\">Mo 12<\/div>\n          <div class=\"afp-tl-content\">\n            <div class=\"afp-tl-period\">12 Months<\/div>\n            <div class=\"afp-tl-title\">Examination Identifies Dismissed Alerts<\/div>\n            <p class=\"afp-tl-body\">Examiners pull alert disposition records. A genuine OFAC SDN match was cleared as a false positive during a high-volume week. The audit trail shows a 90-second review with minimal documentation. The finding is cited as a material deficiency in the AML program.<\/p>\n            <div class=\"afp-risk-tag afp-risk-crit\"><span>&#9679;<\/span> Risk: Critical<\/div>\n          <\/div>\n        <\/div>\n\n        <div class=\"afp-tl-row\">\n          <div class=\"afp-dot afp-dot-win\">SCP<\/div>\n          <div class=\"afp-tl-sentinel-wrap\">\n            <div class=\"afp-tl-sentinel\">\n              <div class=\"afp-tl-period\">With Sentinel&thinsp;\u2122<\/div>\n              <div class=\"afp-tl-title\">Analysts Only See Alerts That Warrant Their Attention<\/div>\n              <p class=\"afp-tl-body\">Sentinel&thinsp;\u2122's multi-dimensional matching resolves name ambiguity before the alert reaches an analyst. At a 0.3% false positive rate, every alert in the queue is a candidate worth reviewing carefully. Alert fatigue doesn't develop when the noise has been removed at the matching layer.<\/p>\n              <span class=\"afp-sentinel-badge\">Always Precise<\/span>\n            <\/div>\n          <\/div>\n        <\/div>\n\n      <\/div>\n    <\/div>\n  <\/section>\n\n\n  <!-- =========================================\n       THE SOLUTION\n       ========================================= -->\n  <section class=\"afp-solution\">\n    <div class=\"afp-wrap\">\n      <div class=\"afp-tag\">The Solution<\/div>\n      <h2 class=\"afp-h2\">What Sentinel&thinsp;\u2122 does that <em>false positives can't survive<\/em><\/h2>\n      <p class=\"afp-sub\">Built for AML and sanctions teams that need a queue they can trust. Sentinel&thinsp;\u2122 resolves identity ambiguity at the matching layer, so your analysts spend their time on genuine risk rather than working through noise.<\/p>\n\n      <div class=\"afp-sol-grid\">\n\n        <div class=\"afp-sol-card\">\n          <div class=\"afp-sol-icon-wrap\">\n            <svg width=\"20\" height=\"20\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#fff\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n              <circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"4\"\/>\n              <line x1=\"12\" y1=\"2\" x2=\"12\" y2=\"4\"\/><line x1=\"12\" y1=\"20\" x2=\"12\" y2=\"22\"\/>\n              <line x1=\"2\" y1=\"12\" x2=\"4\" y2=\"12\"\/><line x1=\"20\" y1=\"12\" x2=\"22\" y2=\"12\"\/>\n            <\/svg>\n          <\/div>\n          <div class=\"afp-sol-title\">Multi-Dimensional Matching<\/div>\n          <p class=\"afp-sol-body\">Sentinel&thinsp;\u2122 matches on name, date of birth, nationality, entity type, and address simultaneously. Two people who share a name do not share all five identifiers. Ambiguity is resolved before an alert is generated, not after an analyst is assigned.<\/p>\n        <\/div>\n\n        <div class=\"afp-sol-card\">\n          <div class=\"afp-sol-icon-wrap\">\n            <svg width=\"20\" height=\"20\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#fff\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n              <line x1=\"4\" y1=\"6\" x2=\"20\" y2=\"6\"\/><line x1=\"4\" y1=\"12\" x2=\"20\" y2=\"12\"\/><line x1=\"4\" y1=\"18\" x2=\"20\" y2=\"18\"\/>\n              <circle cx=\"8\" cy=\"6\" r=\"2.5\" fill=\"#fff\" stroke=\"none\"\/><circle cx=\"16\" cy=\"12\" r=\"2.5\" fill=\"#fff\" stroke=\"none\"\/><circle cx=\"10\" cy=\"18\" r=\"2.5\" fill=\"#fff\" stroke=\"none\"\/>\n            <\/svg>\n          <\/div>\n          <div class=\"afp-sol-title\">Intelligent Threshold Configuration<\/div>\n          <p class=\"afp-sol-body\">Alert thresholds calibrated only for recall generate massive noise. Sentinel&thinsp;\u2122 applies context-aware matching scores that account for identifier completeness and list quality, balancing precision and recall without producing an unmanageable queue.<\/p>\n        <\/div>\n\n        <div class=\"afp-sol-card\">\n          <div class=\"afp-sol-icon-wrap\">\n            <svg width=\"20\" height=\"20\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#fff\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n              <path d=\"M14 2H6a2 2 0 0 0-2 2v16a2 2 0 0 0 2 2h12a2 2 0 0 0 2-2V8z\"\/>\n              <polyline points=\"14,2 14,8 20,8\"\/>\n              <line x1=\"9\" y1=\"13\" x2=\"15\" y2=\"13\"\/><line x1=\"9\" y1=\"17\" x2=\"12\" y2=\"17\"\/>\n            <\/svg>\n          <\/div>\n          <div class=\"afp-sol-title\">Watchlist Quality and Freshness<\/div>\n          <p class=\"afp-sol-body\">Poorly maintained watchlists introduce noise directly into the alert queue. Sentinel&thinsp;\u2122 screens against live, continuously maintained OFAC SDN, consolidated sanctions, and PEP databases, eliminating the duplicate entries and outdated identifiers that drive avoidable alerts.<\/p>\n        <\/div>\n\n        <div class=\"afp-sol-card\">\n          <div class=\"afp-sol-icon-wrap\">\n            <svg width=\"20\" height=\"20\" viewbox=\"0 0 24 24\" fill=\"none\" stroke=\"#fff\" stroke-width=\"2\" stroke-linecap=\"round\" stroke-linejoin=\"round\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\">\n              <circle cx=\"12\" cy=\"12\" r=\"10\"\/>\n              <line x1=\"12\" y1=\"8\" x2=\"12\" y2=\"12\"\/><line x1=\"12\" y1=\"16\" x2=\"12.01\" y2=\"16\" stroke-width=\"3\"\/>\n            <\/svg>\n          <\/div>\n          <div class=\"afp-sol-title\">Analyst-Readable Match Explanations<\/div>\n          <p class=\"afp-sol-body\">For every alert that does reach your team, Sentinel&thinsp;\u2122 explains exactly why it was flagged, which identifiers matched, and which did not. Analysts make faster, better-documented disposition decisions. The audit trail is built automatically for every action taken.<\/p>\n        <\/div>\n\n      <\/div>\n    <\/div>\n  <\/section>\n\n\n  <!-- =========================================\n       CALLOUT\n       ========================================= -->\n  <section class=\"afp-callout\">\n    <div class=\"afp-wrap\">\n      <div class=\"afp-callout-accent\"><\/div>\n      <h2 class=\"afp-callout-headline\">Most screening platforms tell you there's a match. <em>Sentinel&thinsp;\u2122 tells you whether the match is real.<\/em><\/h2>\n      <p class=\"afp-callout-desc\">The difference is not cosmetic. When an examiner reviews your alert dispositions, they are asking whether your team made well-reasoned, well-documented decisions, or whether they cleared alerts to keep up with the queue. Sentinel&thinsp;\u2122's 0.3% false positive rate is what makes the answer defensible.<\/p>\n      <div class=\"afp-pills\">\n        <span class=\"afp-pill\">Name + DOB + nationality + entity type matched<\/span>\n        <span class=\"afp-pill\">Match rationale documented automatically<\/span>\n        <span class=\"afp-pill\">Configurable thresholds by risk category<\/span>\n        <span class=\"afp-pill\">0.3% false positive rate<\/span>\n      <\/div>\n    <\/div>\n  <\/section>\n\n\n  <!-- =========================================\n       FINAL CTA\n       ========================================= -->\n  <section class=\"afp-final\">\n    <div class=\"afp-wrap\">\n      <h2>Your compliance team deserves a queue they can <em>actually trust<\/em>.<\/h2>\n      <p class=\"afp-final-desc\">See how Sentinel&thinsp;\u2122 reduces false positives so your analysts spend their time on genuine risk, not noise.<\/p>\n      <div class=\"afp-cta-row\" style=\"justify-content:center;\">\n        <a href=\"https:\/\/truthtechnologies.com\/es\/request-demo\/\" class=\"afp-btn-primary\">Schedule a Demo<\/a>\n        <a href=\"https:\/\/truthtechnologies.com\/es\/sentinel-screening\/\" class=\"afp-btn-outline\">Learn About Sentinel&thinsp;\u2122<\/a>\n      <\/div>\n    <\/div>\n  <\/section>\n\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>The Anatomy of a False Positive Most AML alerts are false positives. That&#8217;s not just inefficient. It&#8217;s dangerous. Alert fatigue silences your team&#8217;s judgment. When 95 out of 100 alerts are noise, the one that matters gets treated like the rest. Here&#8217;s what drives false positives, and what Sentinel&thinsp;\u2122 does about it. 95%+ of AML [&hellip;]<\/p>\n","protected":false},"author":16,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"elementor_header_footer","meta":{"ocean_front_end_style_editor":"no","ocean_post_layout":"","ocean_both_sidebars_style":"","ocean_both_sidebars_content_width":0,"ocean_both_sidebars_sidebars_width":0,"ocean_sidebar":"","ocean_second_sidebar":"","ocean_disable_margins":"enable","ocean_add_body_class":"","ocean_shortcode_before_top_bar":"","ocean_shortcode_after_top_bar":"","ocean_shortcode_before_header":"","ocean_shortcode_after_header":"","ocean_has_shortcode":"","ocean_shortcode_after_title":"","ocean_shortcode_before_footer_widgets":"","ocean_shortcode_after_footer_widgets":"","ocean_shortcode_before_footer_bottom":"","ocean_shortcode_after_footer_bottom":"","ocean_display_top_bar":"default","ocean_display_header":"default","ocean_header_style":"","ocean_center_header_left_menu":"","ocean_custom_header_template":"","ocean_custom_logo":0,"ocean_custom_retina_logo":0,"ocean_custom_logo_max_width":0,"ocean_custom_logo_tablet_max_width":0,"ocean_custom_logo_mobile_max_width":0,"ocean_custom_logo_max_height":0,"ocean_custom_logo_tablet_max_height":0,"ocean_custom_logo_mobile_max_height":0,"ocean_header_custom_menu":"","ocean_menu_typo_font_family":"","ocean_menu_typo_font_subset":"","ocean_menu_typo_font_size":0,"ocean_menu_typo_font_size_tablet":0,"ocean_menu_typo_font_size_mobile":0,"ocean_menu_typo_font_size_unit":"px","ocean_menu_typo_font_weight":"","ocean_menu_typo_font_weight_tablet":"","ocean_menu_typo_font_weight_mobile":"","ocean_menu_typo_transform":"","ocean_menu_typo_transform_tablet":"","ocean_menu_typo_transform_mobile":"","ocean_menu_typo_line_height":0,"ocean_menu_typo_line_height_tablet":0,"ocean_menu_typo_line_height_mobile":0,"ocean_menu_typo_line_height_unit":"","ocean_menu_typo_spacing":0,"ocean_menu_typo_spacing_tablet":0,"ocean_menu_typo_spacing_mobile":0,"ocean_menu_typo_spacing_unit":"","ocean_menu_link_color":"","ocean_menu_link_color_hover":"","ocean_menu_link_color_active":"","ocean_menu_link_background":"","ocean_menu_link_hover_background":"","ocean_menu_link_active_background":"","ocean_menu_social_links_bg":"","ocean_menu_social_hover_links_bg":"","ocean_menu_social_links_color":"","ocean_menu_social_hover_links_color":"","ocean_disable_title":"default","ocean_disable_heading":"default","ocean_post_title":"","ocean_post_subheading":"","ocean_post_title_style":"","ocean_post_title_background_color":"","ocean_post_title_background":0,"ocean_post_title_bg_image_position":"","ocean_post_title_bg_image_attachment":"","ocean_post_title_bg_image_repeat":"","ocean_post_title_bg_image_size":"","ocean_post_title_height":0,"ocean_post_title_bg_overlay":0.5,"ocean_post_title_bg_overlay_color":"","ocean_disable_breadcrumbs":"default","ocean_breadcrumbs_color":"","ocean_breadcrumbs_separator_color":"","ocean_breadcrumbs_links_color":"","ocean_breadcrumbs_links_hover_color":"","ocean_display_footer_widgets":"default","ocean_display_footer_bottom":"default","ocean_custom_footer_template":"","footnotes":""},"class_list":["post-6007","page","type-page","status-publish","hentry","entry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v28.1 (Yoast SEO v28.1) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Anatomy of a False Positive - Truth Technologies<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/truthtechnologies.com\/es\/anatomy-of-a-false-positive\/\" \/>\n<meta property=\"og:locale\" content=\"es_MX\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Anatomy of a False Positive\" \/>\n<meta property=\"og:description\" content=\"The Anatomy of a False Positive Most AML alerts are false positives. That&#8217;s not just inefficient. It&#8217;s dangerous. Alert fatigue silences your team&#8217;s judgment. When 95 out of 100 alerts are noise, the one that matters gets treated like the rest. Here&#8217;s what drives false positives, and what Sentinel&thinsp;\u2122 does about it. 95%+ of AML [&hellip;]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/truthtechnologies.com\/es\/anatomy-of-a-false-positive\/\" \/>\n<meta property=\"og:site_name\" content=\"Truth Technologies\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-02T13:45:52+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"6 minutos\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/truthtechnologies.com\\\/anatomy-of-a-false-positive\\\/\",\"url\":\"https:\\\/\\\/truthtechnologies.com\\\/anatomy-of-a-false-positive\\\/\",\"name\":\"Anatomy of a False Positive - Truth Technologies\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/truthtechnologies.com\\\/#website\"},\"datePublished\":\"2026-06-30T18:08:25+00:00\",\"dateModified\":\"2026-07-02T13:45:52+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/truthtechnologies.com\\\/anatomy-of-a-false-positive\\\/#breadcrumb\"},\"inLanguage\":\"es\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/truthtechnologies.com\\\/anatomy-of-a-false-positive\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/truthtechnologies.com\\\/anatomy-of-a-false-positive\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/truthtechnologies.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Anatomy of a False Positive\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/truthtechnologies.com\\\/#website\",\"url\":\"https:\\\/\\\/truthtechnologies.com\\\/\",\"name\":\"Truth Technologies\",\"description\":\"Compliance at a Click\",\"publisher\":{\"@id\":\"https:\\\/\\\/truthtechnologies.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/truthtechnologies.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"es\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/truthtechnologies.com\\\/#organization\",\"name\":\"Truth Technologies\",\"url\":\"https:\\\/\\\/truthtechnologies.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"es\",\"@id\":\"https:\\\/\\\/truthtechnologies.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/truthtechnologies.com\\\/wp-content\\\/uploads\\\/2024\\\/02\\\/Logo_Icon_Colored-Transparent.png\",\"contentUrl\":\"https:\\\/\\\/truthtechnologies.com\\\/wp-content\\\/uploads\\\/2024\\\/02\\\/Logo_Icon_Colored-Transparent.png\",\"width\":2648,\"height\":1720,\"caption\":\"Truth Technologies\"},\"image\":{\"@id\":\"https:\\\/\\\/truthtechnologies.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"Anatomy of a False Positive - Truth Technologies","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/truthtechnologies.com\/es\/anatomy-of-a-false-positive\/","og_locale":"es_MX","og_type":"article","og_title":"Anatomy of a False Positive","og_description":"The Anatomy of a False Positive Most AML alerts are false positives. That&#8217;s not just inefficient. It&#8217;s dangerous. Alert fatigue silences your team&#8217;s judgment. When 95 out of 100 alerts are noise, the one that matters gets treated like the rest. 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