Beyond Payment: Key Fraud Prevention Takeaways from Merchant Fraud Alliance 2026

At the inaugural Merchant Fraud Alliance conference in Chicago, one message came through loud and clear: fraud rarely starts at the point of payment.

As AI-driven attacks become faster and more sophisticated, merchants are recognizing the need for full-journey fraud detection, connecting behavioral, device, and interaction signals across the customer journey to identify suspicious activity before a transaction takes place.

From account takeover and card testing to the growing role of AI agents, here are our key takeaways from the conference and why understanding intent is becoming central to modern fraud prevention.

1. Why Fraud Prevention Must Start Before Payment

When fraud teams investigate an account takeover, fraudulent purchase, or other abuse, the warning signs can often be traced back to earlier interactions.

A suspicious login. An unusual navigation pattern. A sequence of actions that doesn't quite match normal customer behavior.

Individually, these signals might seem harmless. But viewed together, they can reveal a very different story.

The opportunity is to identify suspicious activity as it develops, rather than waiting until a transaction is ready to be completed.

2. Why Full-Journey Fraud Detection Matters

There was strong consensus among merchants that point-in-time fraud decisions are no longer enough.

Yet many organizations still assess risk at isolated moments, such as login, account changes, or checkout. That creates gaps between the very events that could help explain a customer's intent.

Connecting signals across the entire digital journey gives fraud teams the context to distinguish legitimate behavior from emerging threats and intervene earlier, with greater precision.

The challenge isn't simply collecting more data. It's connecting that data to make better decisions.

3. How AI Is Accelerating Account Takeover and Card Testing

AI was another recurring theme throughout the conference.

While much of the conversation around AI focuses on entirely new threats, it's also making established fraud techniques faster, cheaper, and easier to execute.

Account takeover, card testing, and identity document manipulation are becoming more accessible to attackers with fewer technical skills.

And as legitimate AI agents increasingly interact with digital businesses on behalf of customers, distinguishing authorized automation from malicious activity adds another layer of complexity.

Fraud teams now need to understand not only whether an interaction looks suspicious, but also who or what is behind it, and whether its behavior aligns with its apparent purpose.

4. Why Understanding Customer Intent Changes Fraud Detection

These conversations point to an important shift in fraud prevention: moving from detecting isolated anomalies to understanding intent across the journey.

A single action may look perfectly legitimate. It's the sequence, timing, and context of actions that can reveal something suspicious.

For example, an AI agent might be authorized to browse products or manage an account. But what happens when its actions unexpectedly move toward a sensitive account change or high-risk transaction?

Understanding intent means recognizing when behavior starts to diverge from what's expected, before that divergence becomes fraud.

5. How Darwinium Intent Intelligence Detects Risk Across the Journey

This is the thinking behind Darwinium's newly launched Intent Intelligence.

Intent Intelligence connects activity across the digital journey to understand not just what a human, bot, or AI agent is doing, but what that behavior means in context.

Three capabilities help bring this approach to life:

• Journey Transition Probability identifies unusual sequences and transitions that may indicate suspicious intent before a high-risk event.
• Agent Intent Detection identifies AI agents, including those that don't openly declare themselves.
• MCP Protection connects AI agent tool calls to the wider customer journey, helping businesses verify agents, monitor their actions, and intervene when necessary.

Together, these capabilities help businesses spot emerging threats earlier, make more informed risk decisions, and protect legitimate customers without unnecessary friction.

Read our Intent Intelligence launch announcement.

6. The Future of Fraud Prevention Is Proactive

Our biggest takeaway from Merchant Fraud Alliance?

The future of fraud prevention isn't about making better decisions at checkout alone. It's about understanding the entire journey leading up to that moment.

As AI accelerates attacks and changes how people interact with digital businesses, fraud teams need a more connected view of behavior, context, and intent.

Because the earlier you understand what's happening, the earlier you can act.

And that's how businesses can stay ahead of fraud while keeping the experience seamless for genuine customers.