Editorial & Content Manager • March 18, 2026 (UPDATED ON March 18, 2026)
6 minutes read time
AI fraud is increasing at an unprecedented rate, and most organizations aren’t prepared.
In 2025, AI-driven fraud exploded, up 1210% in just one year, signaling a massive shift in how fraud is carried out and scaled.
Keep reading to answer:
AI fraud is the use of AI, such as GenAI, deepfake technology, and automation, to carry out scams at scale.
In our recent report, we report on AI fraud data, which includes interactions involving synthetic voice, replay voice, or modulated voice. The report also dives into automated bot attack patterns.
Unlike traditional fraud, which relies on human effort, AI fraud enables attackers to:
In short: AI is making fraud easy, automated, and scalable.
AI-driven fraud increased by 1,210% in 2025, far outpacing traditional fraud growth.
Key takeaways:
This marks a turning point. Fraud is moving from primarily manual and human to machine-driven.
Fraudsters can now launch thousands of attacks simultaneously using bots and automation.
Gen AI tools have lowered the barrier to entry, so advanced skills are no longer required.
Deepfake voices, synthetic identities, and AI-generated conversations are increasingly indistinguishable from real interactions.
The result is more attacks, at lower cost, with higher success rates.
AI fraud typically targets real-time interactions where trust matters most.
These attacks are coordinated, persistent, and often difficult to detect using legacy security controls.
AI fraud is impacting most major industries. The following three industries are experiencing acute and substantial AI attacks.
AI-powered bots are overwhelming systems and targeting patient accounts. In one case, a provider experienced 15,000+ fraudulent bot calls in a single summer.
Fraudsters are scaling refund and return abuse. AI-driven retail fraud increased 330% in just two months.
Customer service channels have become a primary attack surface due to:
| Traditional fraud | AI-driven fraud |
|---|---|
| Human-driven and manual | Automated and scalable |
| Low-volume attacks | High-volume attacks |
| Easier to detect patterns | Mimics real behavior |
The key shift is that AI acts as a force multiplier, dramatically increasing both speed and scale.
Many organizations still rely on:
These approaches were designed for human fraud, not AI-powered attacks. As a result, businesses are facing:
AI fraud is expected to continue accelerating.
Organizations should prepare for:
The bottom line is simple: trust is becoming the new attack surface.
Yes. AI is significantly increasing both the scale and sophistication of fraud attacks.
Common examples include deepfake voice scams, synthetic identity fraud, and automated bot attacks on contact centers.
AI-generated interactions can closely mimic real human behavior, which makes traditional detection methods less effective.
Healthcare, retail, and any organization with high-volume real-time interactions, especially contact centers.
This overview covers the basics, but the full picture is much deeper.
In the complete guide, you’ll learn:
Access expert research, detailed guides, and practical resources on voice security to strengthen your contact center’s defenses.
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