Most platform workers don't report the safety incidents they face every day—and when they do, it's often after the fact, when the moment has already passed, and the damage is done. The everyday frictions—unsafe environments, uncomfortable customers, a contractor arriving at an unfamiliar property, a care worker entering a stranger's home tend to be underreported, underweighted, or surfaced too late to act on. Safety sentiment is a leading indicator that most platforms aren't measuring yet: it shows up first in spikes in cancellations, declining acceptance rates in certain areas, and the slow erosion of worker trust long before a formal complaint is ever filed. And when situations do escalate, most platforms have no direct connection to the public safety infrastructure responding on the other end. In this fireside chat, RapidSOS brings together Kristin Kupiec, Manager of DoorDash's Critical Investigations Unit, with seven years on the frontlines of platform worker safety and Amy Marion ENP, a 28-year public safety veteran and former 911 dispatcher, for an honest, practitioner-led conversation about what's being missed, what the data reveals, and how leading platforms are finally closing the gap.

Use of ID Verification, Artificial Intelligence and Background Checks are being challenged by novel new theories. Learn about what the claims are that are finding vendors, users, and marketplaces in hot water and how to mitigate against your risk.

As marketplaces scale, fraud prevention success isn’t always measured by how many checks or signals you add, but by how well meaningful fraud intelligence is embedded into the platform’s core operations. In this session, leaders from leading marketplaces will share how they’ve evolved from fragmented fraud tooling to a more integrated fraud stack and approach that focuses on separating signal from noise across the full user lifecycle, from registration and login to onboarding, transactions, and payouts. We’ll explore how teams tackle coordinated abuse by identifying which device, identity, and behavioral signals actually matter, and how to combine them for a fuller picture of risk. The discussion will also cover real-world tradeoffs, including where additional signals failed to improve outcomes, how rules-based systems created blind spots, how much manual review is still needed with advanced tooling, and what it takes to operationalize fraud signals across product, engineering, and risk teams. Attendees will leave with practical frameworks for embedding fraud signals into core systems to improve decision quality, reduce operational overhead, and support long-term marketplace growth.

Fraud is no longer a simple binary of good customers versus bad actors—it now exists on a spectrum where users can be the fraudster, be manipulated, or be targeted by third parties within the same journey. From onboarding to transaction to dispute, intent shifts in ways that break traditional models. This panel introduces a practical framework for understanding first-, second-, and third-party fraud as interconnected behaviors across identity, transaction, and intent, helping attendees identify blended fraud earlier and rethink risk across the full customer lifecycle.