Adversarial ML/AI in Production: Insights from Scam-Fighting Systems

​Fraudsters are innovating faster than ever, and the front lines of this battle aren’t inside a lab, they’re inside live systems processing millions of real-world transactions and sadly millions of scams.

​Join us at Tunic Pay HQ for an evening exploring the practical, tested strategies that are working right now in the fight against adversaries. We’re bringing together AI/ML leaders from Monzo (Robin Dhamankar, AI/ML Discipline Lead), Tunic Pay (Slava Polianskii, Lead AI/ML Scientist), and NatWest (Oskar Wismierski, Head of Fraud Analytics) to dig into:

• ​What techniques actually detect adversarial behavior in live environments?

• ​Where do traditional ML models fall short—and how does GenAI supplement them?

• ​How do teams think about risk, transparency, and trust under real operational pressure?

​Expect unfiltered insights, challenging questions, and behind-the-scenes stories from those building and defending at scale. This panel promises to be practical above all (no overreliance on synthetic data/retrostudies/theoretical models); just real talk on engineering and fraud-fighting in action.


*CHATHAM HOUSE RULES*

​🍕 Drinks and pizza will follow.

​This is a great event for engineers, data scientists, and applied researchers curious about systems that keep the world safe.