The AI in Business Podcast How Financial Institutions Can Prepare for the Future of Fraud with Responsible AI Deployments - with JoAnn Stonier of Mastercard
Sep 2, 2025
JoAnn Stonier, Data and AI Fellow at Mastercard, shares her expertise in AI and fraud prevention. She discusses how financial institutions can leverage AI-driven analytics to reduce false positives in fraud detection. Stonier highlights the rise of 'agent-ish' AI and its potential for more autonomous systems. The conversation emphasizes the importance of responsible governance to maintain privacy and security while fostering innovation. Listeners will gain insights on navigating the complexities of AI in finance and enhancing customer experiences.
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AI Reduces False Positives
- Mastercard uses AI to analyze transaction patterns at scale and reduce false positives in fraud detection.
- Real-time pattern analysis lets customers transact more smoothly while improving fraud spotting accuracy.
Summer Home Example Of Pattern Learning
- JoAnn uses a summer-home example to show how pattern-aware AI avoids false flags.
- If repeat spending appears in two locations over time, systems learn not to block those transactions.
Agentish AI Changes Deployment
- Agentic (or “agentish”) AI changes how Mastercard deploys detection across a complex payments network.
- Agents can identify weak network points and allocate attention autonomously across partners.