Fraud has always evolved alongside digital commerce, but the pace of change today is different. AI is accelerating how quickly attacks can scale, how efficiently fraud rings operate, and how difficult it can be for businesses to distinguish legitimate customers from bad actors in real time.
At the same time, expectations for seamless digital experiences continue to rise. Fraud teams are being asked to reduce risk, protect revenue, and remove friction all at once.
That tension was at the center of conversations at MRC Vegas 2026, where more than 1,800 payments and fraud prevention leaders came together to share how their strategies are evolving. Across sessions, roundtables, and customer discussions, one theme was clear: organizations are looking for ways to improve decision accuracy, respond faster to emerging threats, and support growth without creating unnecessary friction for legitimate customers.
Discussions throughout the week explored how teams are strengthening defenses against account takeover (ATO), payment fraud, and coordinated abuse while maintaining the speed and reliability modern digital commerce requires.
Below are the key insights shaping how leading organizations are approaching fraud and decisioning in 2026.
The Industry is Re-engaging With Greater Urgency
One of the clearest signals from MRC Vegas was renewed momentum across the market. Attendance was strong, and conversations were highly focused on practical outcomes rather than theoretical approaches. Many organizations are actively reassessing their fraud programs and looking for ways to improve performance as transaction volumes continue to grow.
Across dozens of discussions, leaders emphasized the need for deeper partnership and more strategic guidance. Teams are looking for clearer frameworks to help them scale decisioning, improve automation, and reduce manual review dependency while maintaining strong approval rates.
We also saw encouraging signs of renewed focus from businesses who had previously deprioritized fraud initiatives. As attack patterns become more sophisticated, organizations are re-evaluating how fraud prevention supports both revenue protection and long-term growth.
AI is Accelerating the Fraud Arms Race
A dominant theme across sessions and customer conversations was the growing role of AI in shaping both fraud tactics and defensive strategies.Attackers are increasingly using automation to scale credential harvesting, phishing campaigns, and transaction testing activity. These attacks are becoming faster and more coordinated, allowing fraud rings to operate more efficiently and adapt quickly to controls.
Meanwhile, AI-powered commerce experiences are changing how legitimate transactions occur, introducing new considerations for how risk decisions are made in real time. Fraud teams are preparing for an environment where both attackers and customers rely on automation, increasing the importance of accurate, adaptive decisioning systems.
In 2026, the most effective approaches to distinguishing bots from legitimate users are designed to continuously evaluate trust signals without exposing how decisions are made. Leading organizations are moving away from static rules and predictable challenges toward adaptive, behavior-driven models that assess patterns across the full customer journey in real time.
This shift reflects the reality that fraud prevention is an ongoing arms race. As attackers use AI to better mimic legitimate behavior, detection strategies must constantly evolve, retrain, and incorporate new signals without becoming predictable. The objective is to dynamically evaluate behavior in context, making it significantly more difficult for adversaries to reverse-engineer controls or exploit gaps in the system.
Demand for Better Data to Improve Decisioning
Another consistent theme from customers was the need for more granular data to improve decision accuracy and enable stronger automation.
Many teams expressed frustration with blackbox risk scores that limit transparency into how decisions are made. Instead, organizations are prioritizing access to underlying signals that allow them to tune rules, improve model performance, and respond quickly to emerging attack patterns.
There is growing demand for richer data across device, behavioral, and network attributes that can help teams distinguish between legitimate users and coordinated fraud activity earlier in the customer lifecycle.
Better data doesn’t only improve fraud detection. It also allows organizations to reduce unnecessary friction, improve approval rates, and create more efficient review workflows.
Businesses are increasingly looking for fraud platforms to serve as central decisioning infrastructure, rather than requiring teams to orchestrate multiple external data sources themselves.
Fraud, Payments, and Customer Experience are Converging
Another clear theme from MRC Vegas was how closely fraud strategy is now connected to broader business performance.
Payment performance, risk decisioning, and customer experience are no longer separate conversations. Organizations are increasingly evaluating fraud decisions based on their downstream impact on conversion, retention, and lifetime value.
Rather than optimizing fraud metrics in isolation, leading teams are aligning fraud prevention with revenue outcomes and customer lifecycle performance.
This shift reflects a broader recognition that fraud prevention plays a direct role in enabling growth. The ability to accurately identify trusted customers and reduce friction can improve both conversion and customer satisfaction. The merchants making the most progress are approaching fraud as part of a unified decisioning strategy that supports both risk mitigation and business performance.
Scaling Fraud Prevention for High-Traffic Events
During our session, Fraud Prevention Under Fire: Scaling Protection During Peak Times, industry leaders shared practical strategies for managing fraud risk during moments of extreme demand.
The session featured insights from Kevin Lee, Field Chief Technology Officer at Sift, and Archith R., Chief Technology Officer at Atom Tickets. Together, they discussed how organizations can maintain both speed and accuracy when transaction volumes surge and customer expectations for seamless experiences are highest.
High-demand moments create ideal conditions for coordinated fraud activity. Major traffic spikes create three advantages for attackers:
- Increased transaction volume creates noise that can obscure fraud signals
- Faster checkout expectations may encourage relaxed controls
- Operational teams are under pressure to maintain performance
Fraud rings often prepare in advance for these events, targeting limited inventory releases, flash sales, promotions, and ticket launches.
Effective strategies shared at MRC included:
- Risk-based authentication that dynamically adjusts friction
- Behavioral analysis to detect automation and bot activity
- Network-level analysis to identify coordinated fraud rings
- Velocity monitoring across account creation and checkout activity
- Layered decisioning frameworks combining machine learning, rules, and human expertise
Organizations that successfully scale fraud prevention during peak demand treat trust as a competitive advantage rather than a constraint on growth.
What This Year’s MRC Means for Fraud Leaders
MRC Vegas reinforced that fraud prevention is no longer a standalone function. It plays a critical role in enabling trusted customer interactions and supporting sustainable revenue growth.
Several priorities are emerging across industries:
- Preparing for faster, more automated attack patterns
- Improving decision accuracy through better data and signals
- Reducing reliance on manual review as transaction volume scales
- Aligning fraud strategy with payment performance and customer experience
- Strengthening infrastructure to handle peak demand without increasing friction
The market is leaning forward. Expectations are increasing. Organizations that invest in better visibility, stronger decisioning frameworks, and more adaptive risk strategies will be best positioned to compete in the next phase of digital commerce.
