Synthetic fraud detection is a method used by financial institutions to prevent fraudulent activities involving fictitious identities. It employs advanced algorithms and data analysis to identify anomalies in data and flag potential synthetic identities, helping to proactively prevent financial losses.
Ronan Burke is the co-founder and CEO of Inscribe, where he has spent nearly a decade studying how fraud evolves and what it takes to stop it. His work sits at the intersection of generative AI and financial crime: specifically, how AI-powered reasoning can outpace the fraud tactics that have already outrun rules-based detection. He writes and speaks regularly on document fraud, agentic AI, and what it means to build fraud defenses for a world where fakes are cheap, fast, and convincing.
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