From reactive to proactive: How banks can stop fraud with AI

AI-driven attackers now mimic legitimate users and probe systems unnoticed. Cleafy reveals how session-wide visibility stops fraud before it begins.

Attackers now use AI-driven techniques to probe systems, mimic legitimate behaviour, and scale their operations. They can test multiple flows, identify weak points, and bypass traditional perimeter-based defences.

This is fraud in rehearsal—happening before money moves.

Fraud now spans the entire user session: from pre-login and onboarding to transactions and KYC. Tools that focus only on entry points or transactions overlook what happens in between—the silent stage where attackers prepare their moves. Without full-session visibility, most of this activity goes unseen.

Cleafy was built for this reality.

We don’t just detect outcomes, we uncover the attacker’s process as it happens, stopping threats in real time.

In this guide, you’ll discover:

  • How AI enhances traditional fraud tactics, from phishing to credential replay

  • Real examples of AI-assisted attacks observed in live banking sessions

  • The regulatory shifts redefining fraud detection in 2025 and beyond

  • Why legacy tools fall short and how session-wide visibility changes everything

  • Practical ways to detect and stop fraud before it starts

See how AI-powered fraud really works—and how to stay ahead of it.

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