We are building to share open-source with the digital marketplaces community and will launch the Digital Marketplaces Risk, Trust & Safety Assessment Framework at Marketplace Risk Austin 2026. We propose a concise, standardized framework that allows digital marketplaces to evaluate their Trust, Safety, and Risk programs through a points-based assessment model. This model serves as a practical tool for platforms to measure their own maturity and coverage across critical domains in user safety and risk management. By assigning quantitative scores to each aspect of a marketplace’s trust and safety infrastructure, the framework provides an objective way to benchmark progress over time and against industry standards . The approach is tailored for digital marketplaces – recognizing their unique mix of user-generated content, transactions, and community interactions – and is meant for sharing at industry forums to encourage broad adoption.

What do “free iPhones,” “free food,” and “free stays” have in common? They’re all outcomes of today's GenAI-fueled fraud ecosystem, where industrial-scale tactics are used to bypass security, drain merchant incentives, and exploit identity gaps. AI isn’t just transforming platforms. It’s powering their attackers. As generative AI and virtual environments become more accessible, fraud tactics are evolving from manual exploits to industrialized, automated operations. From emulators and app cloners to deepfake-powered account creation, the new fraud playbook is faster, more scalable, and harder to detect. Fraudsters are becoming increasingly organized, resembling a production line, and these tools are being distributed on the deep web and in fraudster communities on social networks and messaging apps, operating as a monthly subscription service costing a few hundred dollars: it is fraud-as-a-service. In this session, we'll unpack how AI is being weaponized in today’s fraud ecosystem and what real-world defenses look like. Expect practical case studies, data-driven insights, and a breakdown of the signals that still surface truth in a landscape of synthetic noise. Key Takeaways: - How generative AI and automation are fueling large-scale fraud schemes - How device, location, and behavioral signals expose hard-to-catch threats like deepfakes and virtual farms - Real-world examples of how fraud leaders are adapting their stacks to stay ahead of evolving threats

Marketplaces are seeing rapid growth in wellness aids, performance enhancers, research chemicals, and other health-adjacent products that sit in regulatory gray areas. Listings change quickly and sellers adapt faster than policy. The consequences of missing the mark on this type of risk (including consumer harm, enforcement action, and brand damage) can be immediate — and significant. This session covers emerging wellness risk areas and what they mean for marketplace policy, enforcement, and reputational exposure in 2026. Drawing on real-world patterns, we examine how these products appear on platforms, why they escalate risk, and how marketplaces can prepare to meet the challenges. Attendees will learn to: - Understand the risk profiles of key categories, including weight-loss drugs, novel cannabinoids, kratom alkaloids, peptides, and ingredients subject to country-specific restrictions. - Recognize seller tactics that complicate detection, such as “research use only” positioning, euphemisms, bundling, and jurisdictional arbitrage. - Identify practical policy and enforcement implications, including where to tighten category definitions, when enhanced review is warranted, and what signals to monitor to stay ahead of regulatory attention.

Drawing from industry experience and industry experts we will explore why controlling your supply side risks are so important to operating a trustworthy, viable and profitable Marketplace. With that stage set, how to assure supply side risks are controlled to improve customer experience and business operations.

SMS-based authentication is widely used in marketplaces and social platforms, but it comes with risks: high costs, social engineering, recycled numbers, number changes, and fraud schemes like number pumping. Steve Craig, Head of Servicing Strategy at Prove, along with an industry partner, will explore these challenges and share practical strategies to reduce these risks while preserving seamless guest checkout and login flows. Attendees will learn how orchestrated mobile signals can move beyond SMS, creating a scalable, secure, frictionless, and inclusive login experience that works across millions of users.