Grab lunch with old friends and new colleagues.

Every marketplace obsesses over vendor count. Fewer talk about vendor quality. Almost no one talks about what happens after a vendor passes verification, because a meaningful share of them never become active, contributing supply at all. This is not a failure of strategy. It is a structural blind spot shared across the industry, since most onboarding tools were built to catch bad actors, not to flag good ones who were never going to move the needle. The cost is real, time, resources, and onboarding effort spent on vendors who checked every box and still never showed up on the business side of the ledger. At the core of closing that gap is something deceptively simple, knowing with confidence that the people and businesses joining your platform are exactly who they say they are. Strong identity and business verification remains the foundation everything else depends on, and getting it right changes what is possible from there. This session looks at how that same foundation can go further than confirming legitimacy and catching bad actors alone. By unifying those signals with structured onboarding data into a single applicant risk score, marketplaces gain something they do not have today: a clearer and earlier picture of which vendors are actually worth the investment of onboarding well. So resources go toward the supply that grows the business, not the supply that just grows the count. If your growth metric is still "number of vendors onboarded," this session will change what you measure next.

Trust and safety doesn't stop once a user is onboarded. In this fireside chat, Care.com will share how they're taking a more proactive approach to managing risk across the entire candidate journey — from identity verification and onboarding to ongoing monitoring, address reverification, and keeping user data up to date. We'll discuss the challenges of relying on point-in-time checks, emerging risks facing marketplaces today, and practical lessons for building a more trusted platform through continuous risk management.

Join Theresa Kananen and Deana Rich for a practical session on how to navigate one of the trickiest areas in payments: passing costs on to customers. We’ll cover Visa and Mastercard rules alongside state regulations, with clear, actionable guidance on staying compliant. We’ll break down the key differences between: • Surcharges – fees added to credit card transactions under strict card-brand and state rules • Cash Discounts – how to properly frame incentives for cash payments • Service Fees – industry-specific charges and their limitations • Convenience Fees – when and where they are allowed We’ll also highlight state “hot spots” where enforcement and rules differ or are more restrictive, including California, Colorado, Connecticut, Maine, Massachusetts, and Oklahoma, so you know where to tread carefully. You’ll leave with practical tips, examples, and a roadmap to ensure your pricing models comply with both card-brand and state requirements. Bring your questions, along with lunch, this session will include plenty of time for open discussion with the experts.

Can deepfakes really bypass facial biometrics? The short answer is yes, they can. Deepfakes don't necessarily need to fool the human eye; they just need to trick the system. Fraudsters are increasingly using techniques that exploit weaknesses in facial biometric verification. Traditional detection approaches are struggling to keep up. Join Eduardo Pires, Director of Fraud Solutions at Incognia and Felipe De Carli, Senior Payments Risk at Coinbase, for a session on how AI deepfakes are reshaping digital identity, including: - AI-generated image fraud and other attack techniques - Why deepfake detection alone can't keep up - How grounding identity in the physical world creates a stronger defense Whether you're skeptical or already concerned, join us and bring your questions.