Online scams erode user trust and cost platforms billions. With fraud complaints soaring, proactive design is crucial. In this presentation, we’ll explore actionable strategies to build scam resistance into online marketplaces. We’ll discuss successful case studies, share key design principles, and explore the Scam Discernment Ability Test (SDAT-10). This scale allows product leaders to measure user resilience, A/B test interventions, and ensure their platform builds trust and empowers users to stay safe.

It's a good time to be an online marketplace. Global sales have doubled from $2 trillion to $4 trillion in just 6 years. 400,000 businesses are being formed in the U.S. every MONTH, and for many, one of the first steps those newly-formed businesses take is to set up their marketplace storefronts. But there's a problem. Most marketplace onboarding programs are built around individual sellers, even as marketplaces attract more professional sellers—and imposters—as they grow. Fraudsters are increasingly exploiting this gap in identity verification with synthetic identities that can be extremely difficult to spot. This panel will discuss the rise of synthetic identity fraud, the unique business risks that individual identity verification overlooks, and the strategies marketplaces can adopt to detect and mitigate these risks to their online communities.

In today's fast-evolving gig economy, mastering trust and safety is essential for driving growth. From onboarding new users to mitigating fraud and risk and managing disputes, integrating diverse digital and offline insights is key to building a top-tier service for consumers, workers, and peer-to-peer providers alike. Join TransUnion and Turo, a leading peer-to-peer car sharing service, for an engaging panel discussion on the importance of integrating comprehensive data signals, models, and investigative tools into your trust and safety strategies. Explore how these layered data sources can transform operations and drive more efficient, secure, and streamlined user experiences.

Marketplace risk is no longer static — and your defenses shouldn’t be either. As fraud rings grow more organized and money laundering techniques more elusive, marketplaces must evolve from reactive gatekeeping to proactive, adaptive intelligence. AI is the linchpin of this transformation. This session invites marketplace leaders to rethink what trust and safety look like in the age of AI. Rather than chasing bad actors with static rulebooks, AI empowers platforms to learn from every interaction, uncover hidden patterns, and evolve defenses in real time. We’ll explore: - What’s changing: The new wave of fraud and financial crime — coordinated, fast-moving, and increasingly AI-assisted itself - Why AI matters now: Why rule-based systems alone can’t keep pace, and how AI offers marketplace-specific advantages in fraud detection and AML compliance - How to lead, not lag: A vision for how marketplaces can responsibly implement AI-driven systems — combining automation, transparency, and human oversight

The fraud prevention arms race has pushed companies to hoard data—but more isn’t always better. This session challenges the assumption that volume equals value, revealing how fraudsters exploit the blind spots in massive, low-context datasets. We’ll explore why high-trust, high-context signals—those with clear provenance and behavioral depth—deliver sharper, faster fraud detection. Attendees will learn how to move beyond consortium-based noise toward precision insights that scale, and why the next generation of fraud solutions will be won by those who prioritize data quality over data quantity.