AI Agents for fraud operations: Rebuilding the reaction cycle
For years, fraudsters and fraud fighters have engaged in a classic cat-and-mouse game: a fraudster exploits a gap, teams catch on and patch the hole, and the cycle repeats.
But that rhythm is breaking down. Fraudsters are now using AI to launch "polymorphic attacks,” or attacks that adapt in real-time, at machine speed, to evade detection. By the time your system begins to react, they've already pivoted.
In this new environment, it doesn't matter how many analysts or dollars you throw at the problem: humans simply can't react fast enough. That's given rise to a new approach: Agentic Fraud Ops, which arms fraud teams with good AI to fight bad AI.
This live session will cover:
- These emerging attack types, including what we're seeing and what they look like in practice
- What makes fraud systems work, and why that's changing
- Redesigning fraud operations for learning velocity
- Getting there: a sequence, not a checklist
- Common pitfalls and how to avoid them
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