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  • AI

2024 Global Scam Losses Top $1 Trillion – SAS Urges Real-Time Defense


2024 Global Scam Losses Top $1 Trillion – SAS Urges Real-Time Defense
  • by: Source Logo
  • |
  • November 26, 2025

Scam losses worldwide surpassed $1.03 trillion in 2024, according to the Global Anti-Scam Alliance (GASA), with nearly half of consumers encountering scam attempts weekly and only 4% of victims recovering funds. New analysis from SAS, drawing on data from GASA, INTERPOL, the FBI, and Deloitte, highlights a growing gap between the sophistication of AI-enabled scams and the outdated defenses many financial institutions still rely on.

Quick Intel

  • 2024 global scam losses exceeded $1.03 trillion (GASA)
  • Only 4% of victims fully recover money; half face weekly scam attempts
  • Banks struggle with legacy systems unable to detect customer-initiated scams
  • SAS report identifies five critical vulnerabilities in current defenses
  • Real-time, AI-powered behavioral analytics essential for effective protection
  • Upcoming SAS webinar: Scam Season: Real Stories, Smarter Defenses (Dec 2)

The Rising Challenge of Social-Engineering Fraud

Modern scams no longer rely solely on stolen credentials or transactional anomalies. Criminals exploit urgency, fear, and false authority to manipulate customers into authorizing payments themselves, rendering traditional rules-based detection ineffective.

"Scams have matured into a global trust crisis," said Stu Bradley, Senior Vice President of Risk, Fraud and Compliance Solutions at SAS. "Criminals are using the same advanced technologies that institutions rely on, while also exploiting psychological levers like urgency, fear and false authority to compel victims to act. The challenge isn't to predict the next scam but to build the agility and adaptability to respond to fast-changing risks in real time."

Five Critical Vulnerabilities and Modernization Imperatives

SAS analysis outlines five vulnerabilities exposing financial institutions to AI-enabled threats and the corresponding actions required:

  1. Fragmented risk data creates blind spots Disconnected systems prevent a unified view of customer activity across channels. Imperative: Build integrated data ecosystems with consistent scam taxonomies and cross-channel telemetry.
  2. Legacy rules miss socially engineered behavior Traditional systems detect transactional anomalies, not psychological manipulation. Imperative: Adopt behavioral analytics, dynamic profiling, and intent modeling.
  3. Instant payments shrink intervention windows Batch processing and post-transaction reviews arrive too late. Imperative: Implement real-time scoring and adaptive friction before funds move.
  4. High false positives erode trust and efficiency Poor data quality and rigid models generate overwhelming alert volumes. Imperative: Modernize with ensemble models, continuous refresh, and explainable AI.
  5. Inconsistent victim support damages relationships Siloed teams deliver fragmented guidance during critical moments. Imperative: Standardize workflows and proactive communications across fraud and support teams.

Financial institutions that address these gaps with unified data, behavioral intelligence, and real-time decisioning are significantly better positioned to detect scams early, reduce losses, and preserve customer trust.

"Just as AI is helping criminals deceive people with unprecedented speed and precision, it has raised the bar for financial institutions," said Diana Rothfuss, Global Solutions Strategy Director for Risk, Fraud and Compliance at SAS. "Consumers still expect their bank to recognize when something is wrong and step in. Protecting that trust means detecting and responding to the subtle signs of manipulation, not just the obvious signs of fraud."

SAS will explore these challenges and solutions further in the upcoming webinar Scam Season: Real Stories, Smarter Defenses, livestreaming December 2 at 10 a.m. ET and available on demand afterward.

 

About SAS

SAS is a global leader in data and AI. With SAS software and industry-specific solutions, organizations transform data into trusted decisions. SAS gives you THE POWER TO KNOW®.

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