Welcome to Shaping Tomorrow

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


  • [New] UK insurers are being warned about a twist on romance fraud - fraudsters using dating apps to recruit accomplices for bogus motor claims. Insurance Business
  • [New] Experian's 2026 Future of Fraud Forecast identifies machine-to-machine mayhem as 2026's leading threat. National Law Review
  • [New] Authorities seized 2341 devices, shut down 1442 malicious sites, and dismantled fraud networks in Nigeria, Kenya, and Cote d'Ivoire. SentinelOne
  • [New] The rapid adoption of generative AI is expected to significantly accelerate cyber fraud and impersonation attacks in 2026. FinTech Global
  • [New] In risk protection alone, better fraud detection could save USD80 to 160 billion by 2032. NERDBOT
  • [New] Fraud will increase over the next two years. Tax & Accounting Blog Posts by Thomson Reuters
  • [New] The UK, together with Microsoft, other technology companies, academia, and experts, will develop a Deepfake Detection Evaluation Framework to assess detection tools against consistent standards and to identify gaps against real-world threats such as fraud and impersonation. Ilja Schlak InfoSec Blog
  • [New] Federal programs could lose between 233 billion and 521 billion dollars annually to fraud. / USA BiometricUpdate.com
  • [New] Payer focused solutions are expected to grow at a strong double digit rate through 2030, with particular emphasis on fraud analytics and high cost member management. AI Software Development & Custom AI Solutions for Busin
  • In 2026 there will be a boom in AI-driven autonomous fraud. Sumsub
  • Fraud Detection and Risk Monitoring: AI-powered surveillance systems continuously analyze transaction behaviour, flag suspicious activity, and reduce credit fraud exposure across digital lending platforms, e-wallets, and card networks operating in the Philippines. openpr
  • Over the next 12 months, 29% of global respondents will continue to focus on fraud, and KYC/KYB enhancements, underscoring a shift towards faster, more transparent, and seamless lending journeys. Fintech Singapore
  • With the massive momentum, the structural drivers like regulatory harmonization, foreign exchange settlement systems, fraud risks management and merchant networks density will dictate the UPI global expansion. ET Edge Insights
  • According to Accenture, 57% of banking executives expect AI agents to be fully embedded in risk, compliance, and fraud detection within three years. FinExtra
  • By 2027, social engineering fraud (e.g., a deepfake CFO ordering a wire transfer) will account for a significant portion of cyber claims. Emerline
  • Money mule fraud has become a pressing global concern, targeting ordinary individuals and threatening the financial integrity of communities and nations. Stephen Musings
  • In 2026, we are expecting synthetic fraud losses to continue to escalate sharply. PwC
  • From AI-driven phishing campaigns and deepfake fraud to massive cloud data breaches impacting hundreds of millions of users, the threat landscape has evolved into a highly organized global industry. Malware Analysis, News and Indicators
  • Cyble's 2026 predictions anticipate more sophisticated social engineering at scale, real-time financial fraud challenging banking authentication, and content verification crises affecting corporate decisions. Compliance Hub Wiki
  • Deepfakes will feature in 20% of fraud attempts by year's end. Reputation Ace - Reputation Management
  • In 2026, fraud will hinge on spotting the behavioural tells that separate humans from machines. Retail Banker International
  • Gen AI could see fraud losses reaching US$ 40 billion in the United States by 2027, a compound annual growth rate of 32%. FinExtra

Last updated: 10 March 2026



Please stand by...

The magic is happening, but it might take a couple of minutes.

Login