Kalshi's KYC/AML Framework: How does it scale with user growth and new contract types?

Been diving deeper into Kalshi and the whole regulated prediction market space, and it's fascinating to see how they've navigated the regulatory landscape. One thing that keeps coming to mind, especially as they expand their offerings and presumably their user base, is their approach to KYC and AML. Given the nature of event contracts, some of which can be quite granular and perhaps even politically sensitive, how robust is their existing framework?

Specifically, I'm curious about the operational challenges. Are they leveraging AI/ML for transaction monitoring and pattern analysis for red flags, or is it still largely manual review once a threshold is hit? And with different jurisdictions inevitably coming into play as they grow, how do they manage the varying requirements for identity verification and ongoing due diligence without creating too much friction for legitimate users? It feels like a real tightrope walk between compliance and user experience, and I'm keen to hear if anyone has insights into the nuts and bolts of how a platform like Kalshi handles this at scale. It's not just about preventing illicit activity, but also maintaining trust and regulatory standing.