Our Scans · (FS.7.01) Fraud · Weekly Summary

• [New] Generative AI fraud losses are projected to hit $40 billion by 2027. Medium
• [New] In 2026, widespread biometric adoption increases user confidence, reduces fraud risk, and provides a frictionless experience, allowing consumers to securely access accounts and perform transactions quickly without relying on traditional passwords or PIN codes. NASSCOM | The Official Community of Indian IT Industry
• [New] BIMI is expected to move into the mainstream by 2026, especially in sectors where fraud and impersonation are common. Security Boulevard
• [New] Stronger security and advanced anti-spam protection: Stronger security and anti-spam systems are expected to shape WhatsApp in 2026, protecting users from fraud, fake accounts, malicious links, and unwanted promotions. Analytics Insight: Latest AI, Crypto, Tech News & Analy
• [New] The coming year will bring SEPA Instant payments as a standard, which also means fraud attempts will continue to evolve in real-time. FinExtra
• [New] VoP (similar to the UK's Confirmation of Payee) is expected to contribute to containing fraud in real-time payments going forward. FinExtra
• [New] Graph Neural Networks will explode by 2026 for fraud detection and risk analysis. Software House
• [New] 2026 is an election year, meaning that deepfake fraud and cognitive attacks will surge. Center for Internet Security
• [New] Payments networks such as Visa and Mastercard now run deep-learning models that score fraud risk across billions of transactions in under 50 milliseconds, even in complex cross-border corridors. FinExtra
• [New] AI-powered social engineering cyberattacks will be much more difficult to detect and avoid, creating a global spike in data loss, fraud, and the harvesting of credentials. Security Boulevard
• [New] In 2025, businesses will adopt blockchain to enhance trust, reduce fraud, and streamline operations. Journal
• [New] Global cybercrime losses could soar into the trillions of dollars annually by the mid-2020s, driven by ransomware, fraud, and breaches tied to cloud, identity, and AI-enabled vectors. The420.in
• [New] Fraud detection staff cuts alone could result in $360 million in fraudulent refunds that will not be stopped during the 2026 filing season. IRSProb
• [New] Fraud losses due to AI will be as high as $40 billion in the United States alone. Mondaq
• [New] Over 70% of Tier-1 banks plan to increase AI budgets for fraud detection and AML modernization by 2026. Precedence Research
• [New] By 2025, about 87% of global financial institutions will have implemented AI-powered fraud detection systems, up from 72% in early 2024, showing widespread adoption in core fraud monitoring roles. Precedence Research
• [New] Bangkok - Thailand's Ministry of Digital Economy and Society has warned the public to prepare for four major scam trends expected to intensify in 2026, urging people to stay alert and avoid falling victim to online fraud. Vietnam+ (VietnamPlus)
• [New] By 2026, machine identities will outnumber human employees by 82 to 1, creating unprecedented opportunities for AI-driven identity fraud where a single forged identity can trigger cascades of automated malicious actions. Cryptika Cybersecurity | Cryptika Cyber Security
• [New] By end of 2026, an AI agent will cause > $10M in financial damage through unintended autonomous action; not fraud, not misuse by bad actors, but an AI system doing something its operators did not intend. Retaining Agency
• [New] Authorized Push Payment (APP) fraud and social engineering will remain a threat in 2026, for both consumers and the financial services industry alike. Mitek
• [New] In 2026, AI-driven fraud will pressure every stage of identity proofing and authentication. Mitek
• By application, the fraud detection & prevention segment is expanding at a healthy CAGR from 2026 to 2035. Precedence Research

Last updated: 06 January 2026