Webinar

Built for growth:
rethinking the risk stack for the next decade of fintech

Why real-time, always-on risk is the foundation fintechs need to grow now and stay ready for what's next.

Thursday, November 5, 02026 | 2:00 pm EST / 11 am PST

Most fraud programs are still built to catch a moment: a single check at onboarding, a single rule triggered mid-transaction. But fraud doesn't happen in a single moment. It plays out across the life of a customer relationship, and fintechs that treat it as a point-in-time problem are capping their own growth without realizing it.

A real-time, always-on view of risk changes that equation, letting teams approve more good customers and catch bad actors sooner. It also happens to be the same foundation fintechs will need as agentic commerce starts to reshape how transactions get initiated and approved. If your systems can't talk to each other now, they won't be ready for what's coming either.

Join Alloy and Gemini for a candid conversation on what fraud infrastructure needs to look like today, and what it will take to be ready for the shift that's already headed our way.

What we'll cover:

Why real-time, always-on fraud detection outperforms point-in-time checks, and what it unlocks for good customers and bad actors alike
How a continuous, entity-level view of risk lets you open up onboarding without opening the door to fraud
The hidden cost of a fragmented risk stack: why the point solutions that worked at your last stage of growth quietly become the ceiling on your next one
What "future-proofing" your fraud infrastructure actually means as agentic commerce starts to change how transactions get initiated and approved

Register now

Featured Speakers

Sam Swift
Head of Engineering, Intelligence at Alloy

Sam Swift is Head of Engineering, Intelligence at Alloy, where he leads the AI and agentic systems that help banks and fintechs automate fraud, AML, and KYC/KYB decisions, while ensuring humans remain in the loop on the highest-risk calls.

He has spent his career building machine learning and AI into real-world operations across industries. He was Betterment's first data scientist during the early fintech wave, and at Bowery Farming he built the computer vision and robotics-driven AI systems that ran automated indoor farms at scale. He has also served as a company CTO, leading product, engineering, and data end to end.

He holds a PhD from Carnegie Mellon, where he studied how people make decisions under uncertainty.

David Griesback
Product Manager, Gemini

David Griesbach is a retired Special Agent of the IRS - Criminal Investigation (CI) division. During his tenure, he focused on financial crime and counterintelligence, notably spearheading the government’s initial response to cryptocurrency. He currently serves as a product manager specializing in machine learning and AI, with a focus on mitigating fraud, identity resolution and proofing, and advancing agentic commerce and stablecoin solutions. He lives in the Bay Area.