Fraud at Machine Speed: What 2025 Taught Us About 2026

What is up fraud fighters, and welcome to Fraud Forward!

This episode is a special one because it marks the relaunch of the show, and I wanted to start by grounding the conversation in what fraud teams are actually experiencing right now.

Not predictions.

Not vendor hype.

What banks and credit unions actually saw in 2025.

Because the reality is fraud is accelerating across every layer of the banking ecosystem.

Payment velocity is increasing.
Digital onboarding exposure is expanding.
And fraud tactics are evolving faster than many detection models were designed to handle.

In this episode I brought together senior leaders from a large bank, a credit union, and second-line risk oversight to talk about one central question.

How do institutions accelerate fraud detection in a threat environment where attacks can change mid-stream?

We talked about digital arrest scams, ghost tap fraud, tokenized card abuse, and self-adapting AI attacks that evolve during the lifecycle of an attack.

And the conclusion we kept coming back to is simple.

Traditional fraud models that detect static patterns are not enough anymore.

If we want to keep up with financial crime acceleration, institutions have to strengthen anomaly-based fraud detection, modernize fraud model governance, and improve real-time fraud monitoring across onboarding and payment rails.

What you’ll hear in this episode

• How digital arrest scams are evolving beyond traditional fraud controls
• Why ghost tap fraud challenges assumptions around card-present fraud liability
• How self-adapting AI attacks are reshaping fraud detection models
• Where onboarding fraud exposure and payment fraud exposure create the biggest risks
• Why fraud model governance and monitoring must move at machine speed

You should listen to this episode if

• You oversee fraud, BSA, risk, or compliance for a bank or credit union
• Your institution is experiencing increasing payment velocity or onboarding fraud exposure
• You are responsible for strengthening fraud oversight frameworks
• You want to understand how AI-driven fraud is changing detection strategy
• You are building fraud strategy for 2026 and beyond

If you liked this episode, be sure to subscribe and review the podcast on iTunes, Spotify, YouTube, or wherever you listen to podcasts.

Episode notes & key takeaways

Before we double click on the notes, I just want to say that my marketing team told me I need to structure these notes a certain way in order for people to find my podcast. The below is a bit of that 😀

Fraud acceleration is operational, not theoretical

One thing that came up repeatedly in this conversation is that fraud acceleration is no longer a theoretical concept.

Fraud teams are seeing it every day.

Higher dollar losses.
Faster payment movement.
Adaptive fraud tactics that combine social engineering, AI-driven fraud tools, and cross-rail movement.

The timeline of an attack has compressed dramatically.

If institutions want to accelerate fraud detection, they have to move beyond static rule-based monitoring and invest in anomaly-based fraud detection that surfaces behavior deviating from a customer’s baseline.

The goal is catching the signal before funds leave the institution.

Onboarding and payment exposure are primary risk zones

Another theme we kept coming back to is how digital onboarding and payment rails have become the two largest exposure zones.

Weak identity verification, fragmented KYC processes, and limited behavioral analytics create entry points for fraudsters.

Once accounts are established, payment rails such as ACH, RTP, and card networks allow funds to move extremely quickly.

That’s why accelerating fraud detection starts with modernizing onboarding controls.

Stronger behavioral analytics at account opening, improved CIP processes, and velocity monitoring across payment rails can significantly reduce fraud exposure.

Ghost tap fraud requires new risk assumptions

Ghost tap fraud was one of the more surprising topics in this conversation.

Contactless and mobile wallet transactions have historically been treated as lower risk once authentication occurs.

But tokenized card fraud and SMS-based wallet provisioning abuse challenge that assumption.

Mobile wallet fraud risk now requires institutions to monitor wallet provisioning events and reassess how token authentication logic is evaluated.

Tokenization does not eliminate fraud risk.

It simply moves the point where that risk must be monitored.

AI-driven fraud demands stronger governance

AI-driven fraud is also forcing institutions to rethink model risk management.

Self-adapting AI attacks can change tactics mid-attack.

When fraud models are layered on top of each other without regular maintenance, blind spots emerge.

Fraud model governance needs to include structured model inventories, drift monitoring, validation cycles, and clearly defined ownership between first and second line teams.

Accelerating fraud detection requires balancing model agility with governance discipline.

Speed without oversight increases exposure.

Regulatory accountability is increasing

Another reality we discussed is the growing regulatory focus on fraud oversight frameworks.

Regulators are asking different questions now.

Not just how much fraud occurred, but what controls were in place and how quickly institutions responded.

Documentation of monitoring frameworks, model performance, and response timelines will become just as important as loss metrics.

Institutions that strengthen oversight before regulatory pressure intensifies will be better positioned than those reacting after major events.

The evolution of Banking on fraudology

The mission stays the same:

• Elevate fraud prevention education
• Strengthen banking community leadership
• Support real operators inside community banks and credit unions
• Build durable fraud community building frameworks
• Advance fraud prevention thought leadership grounded in operational experience
• The future of fraud prevention depends on leaders who recognize how quickly financial crime is evolving.
• The future of fraud strategy depends on institutions that accelerate fraud detection before losses escalate.
• And the future of fraud defense will be built by teams who combine technology, governance, and collaboration.

Stay vigilant, stay informed, and keep moving fraud forward.