Security and Trust AI and Trust at Scale — Securing the Future of Payments

Empowering trust and resilience with AI-driven fraud prevention
10/23/2025
Podcast featuring Visa’s Walter Lironi and James Mirfin discussing secure, scalable payment systems powered by trusted AI innovation. Podcast featuring Visa’s Walter Lironi and James Mirfin discussing secure, scalable payment systems powered by trusted AI innovation.

In the latest episode of Visa Spotlights, Walter Lironi, Visa’s Head of Value-Added Services for CEMEA, sits down with James Mirfin, Global Head of Risk and Identity Solutions at Visa, to explore how artificial intelligence is reshaping the fraud landscape — and what it means for the future of trust in payments.

Fraud is evolving at unprecedented speed, it’s no longer confined to stolen credentials; it’s now identity-driven, behavior-based, and increasingly powered by AI. Fraudsters are early adopters, using automation, deepfakes, and social engineering to scale attacks with alarming precision.

Visa’s response is equally dynamic. Through Visa Protect — an AI-native, end-to-end suite of fraud prevention solutions — we embed intelligence across every stage of the payment journey, from onboarding and authentication to transaction monitoring and scam interception. In 2024 alone, Visa helped block $40 billion in fraudulent activity¹, leveraging hundreds of AI models and decades of global fraud data to detect threats in milliseconds.

The conversation also highlights the strategic impact of Visa’s acquisition of Featurespace², whose behavioral profiling technology adds depth and precision to Visa’s global-scale defenses. Together, Visa Protect and Featurespace create a layered, adaptive approach that secures every payment type while tailoring detection to each client’s unique risk profile.

For financial institutions and fintechs, the message is clear: fraud prevention needs to be treated as a boardroom priority. Static defenses are no longer enough; adaptability, intelligence, and collaboration are key. Tune into the full conversation below:

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