How AI-Driven Commerce Is Reshaping Fraud Risk

2026 Industry Report: The Rise of AI Fraud & Agentic Commerce

Insights from 500 fraud, risk, and security leaders on how AI-driven attacks and autonomous agents are reshaping commerce and risk.

AI fraud is no longer emerging. It is now the dominant threat facing digital businesses, while agentic commerce is unlocking a new wave of automated, legitimate transactions.

This report reveals how organizations are struggling to keep up and what leaders must do next.

Inside This Report

• How AI fraud became the dominant attack vector
• Why deepfakes and fraud-as-a-service are accelerating risk
• The rise of agentic commerce and AI shopping agents
• Why most organizations can’t distinguish good vs bad automation
• The true cost of fraud, including false positives and lost revenue
• How to move from detection to intent-based fraud prevention

The Problem

AI Fraud Is Scaling Faster Than Defenses

AI has lowered the barrier to entry for sophisticated fraud. Attackers are using automation, personalization, and human-like behavior to evade traditional controls.

At the same time, most organizations are still relying on fragmented tools that only protect isolated checkpoints rather than the full customer journey.

The Shift

Agentic Commerce Is Here

AI agents are now:

• Browsing products
• Comparing prices
• Building carts
• Completing purchases on behalf of users

Nearly all organizations expect non-human traffic to increase significantly in the next year, yet most lack the ability to safely enable it.

The Core Challenge

It’s Not About Detecting Bots. It’s About Understanding Intent.

Most fraud systems can identify automation.

Very few can answer:
Is this AI acting for a real customer, or against them?

That distinction determines whether you:

• Capture new revenue
• Or absorb new risk

Why It Matters

The Financial Stakes Are Massive

Organizations are losing millions annually due to:

• Direct fraud losses
• False positives blocking legitimate users
• Customer churn after fraud incidents

Combined, these costs exceed $7.5M per year for the average organization.

The Cost of Getting It Wrong

The Hidden Cost of Fraud Decisions

• Millions lost to AI-enabled fraud each year
• Millions more lost to false positives
• Long-term customer churn and brand damage
• Increasing operational complexity across fragmented tools

The cost of inaction, or the wrong action, is growing fast.

Who This Is For

This report is essential for:

• Fraud & Risk Leaders
• Chief Information Security Officers (CISOs)
• eCommerce & Digital Leaders
• Payments & Fraud Strategy Teams