From real-time payment (RTP) scams to account takeovers to card testing, Visa reports that 98% of merchants experienced one or more types of fraud in 2025. No wonder it has gone down in history as the year these crimes exploded in scope. So what does 2026 have in store? According to the INETCO Team, the coming months will see payment fraud evolve like never before — into something more autonomous and far harder for banks and payment processors to detect using traditional approaches.
Advances in artificial intelligence (AI), automation and digital identity are reshaping how legitimate businesses operate. Unfortunately, those same technologies are also being adopted by fraudsters at scale. Based on industry research and what we’re observing across real-time payment environments, we believe 2026 will be defined by a new generation of emerging fraud threats, zero-day attacks and countermeasures.
Below are five trends our team believes will have a significant impact on financial institutions and payment processors this year.
1. Agentic AI will accelerate payment fraud at machine speed
Fraud is increasingly being executed by software and agentic bots acting autonomously. Agentic AI systems can initiate actions, adapt tactics and scale attacks across payment transaction channels far faster than manual schemes ever could. AI-driven phishing attacks, synthetic identities and deepfakes are more convincing than ever before, with a level of realism that is bypassing verification checks and human judgement. Traditional threshold-based systems simply can’t react in the milliseconds it takes to detect and prevent this type of payment fraud. Real-time understanding of intent, behavior and context will be table stakes this year, especially for banks and payment processors charged with safeguarding customers’ financial information and maintaining their trust.
2. Connected devices will continue to expand the attack surface
The proliferation of IoT and connected consumer devices creates additional entry points for payment fraud. Whether it’s a compromised point-of-sale terminal or a network endpoint anomaly, these security gaps offer new opportunities for credential harvesting and social-engineering extensions. That’s why fraud prevention must extend beyond traditional digital channels.
3. Visa VAMP will drive compliance-centric fraud risk
Visa’s Acquirer Monitoring Program (VAMP) continues to reshape how payment network providers, acquirers and merchants are judged on payment fraud and dispute performance. Visa VAMP is driving a compliance-centric risk by effectively turning merchant fraud levels into an enforceable obligation for acquiring banks and merchants, rather than a purely operational issue. Under VAMP, failure to adequately monitor merchants, detect elevated fraud and card testing instantly, apply consistent fraud controls and document remediation actions can be treated as non-compliance, leading to monitoring programs, penalties or mandated merchant termination.
The program makes fraud management expectations resemble regulatory requirements where gaps in monitoring, inconsistent enforcement or weak evidence trails expose banks to audit, financial and reputational risk. With stricter thresholds now enforced, organizations face compliance-driven friction if payment fraud ratios aren’t tightly managed, making holistic control essential.
4. Ghost tap and PhantomCard fraud will become even more sophisticated
Contactless and digital wallet technologies are being exploited by invisible “tap-to-pay” schemes that generate unauthorized transactions without cardholders’ awareness. These attacks mimic legitimate tap behaviors, requiring context-aware detection at the device, terminal and card session level rather than simple velocity checks.
5. Governments will step up fraud-fighting efforts
In 2025, Canada — like other jurisdictions — launched a National Anti-Fraud Strategy and a new Financial Crimes Agency acknowledging that fraud is outpacing traditional defenses. These measures underscore a broader shift: payment fraud prevention must evolve faster than the threats themselves.
Fraud-as-a-service marketplaces, cloned card tools and AI-enabled exploit kits underscore the need for collective action — from cross-industry intelligence sharing to real-time analytics — rather than reactive flagging after losses occur. Predictive and real-time detection across the entire payment flow will be a critical part of policy and enforcement.
6. More fraud will successfully hide inside legitimate payment traffic
Fraud will increasingly be concealed within legitimate payment traffic, driven by AI-enabled attack sophistication, compromised customer devices and techniques such as low-value card testing and transaction probing that closely mimic normal user behavior. These attacks are difficult to detect without disrupting genuine customers.
To avoid false declines and unnecessary customer friction, banks and processors must move beyond blunt IP- or port-level blocking and adopt message-level transaction analysis. By capturing data directly at the network level and decoding every transaction field across each hop of the payment journey, banks and processors gain the rich, real-time insight needed to precisely stop malicious transactions before they have a chance to complete – without interrupting legitimate transactions or customer access.
What our predictions mean for payment fraud teams
In short, 2026 will separate reactive payment fraud programs from those built for resilience. Payment fraud prevention can no longer be treated as a back-office function. Rather, it must operate at the same speed and intelligence level as the threats it faces.
Key priorities we believe organizations should focus on include:
- Real-time transaction intelligence to stop payment fraud before completion
- Continuous behavioral analytics for each specific user, card, device or terminal – not periodic reviews relying on broad segment behaviors or static rules
- Cross-channel visibility that breaks down payment silos across all banking channels, including ATM, POS, digital, cards and real-time payments
- Unified frameworks that blend fraud and cybersecurity
- Message-level transaction blocking to stop bad events – not entire IPs or ports
- Explainable, auditable AI models that support compliance and trust
AI can be a double-edged sword, but when applied responsibly, it is one of the most powerful tools for proactive defense in a world where payment fraud strategies are becoming more autonomous.
Putting predictions into practice with INETCO BullzAI
By combining advanced behavioral analytics, AI-driven decisioning and real-time transaction monitoring to detect and stop payment fraud as it happens, INETCO BullzAI addresses emerging threats like nothing else on the market today. Its analysis of intent, context and patterns across every interaction helps financial institutions identify sophisticated attacks that traditional systems miss.
INETCO BullzAI also supports compliance with frameworks like Visa VAMP and the evolving regulatory expectations around payment fraud prevention, giving teams the visibility and control needed to manage performance ratios, detect high-risk vectors like enumeration or account compromises and prevent penalties or processing restrictions.
If your payment fraud strategy still relies on static rules or delayed reviews, now is the time to evolve. INETCO BullzAI enables teams to move from reactive fraud management to proactive, AI-powered protection without compromising performance, customer experience or compliance.
Learn how INETCO BullzAI can help you stay ahead of payment fraud and compliance risk in 2026 and beyond by scheduling a demo today.