Wall Street's AI Compliance Push Is Outrunning Its Skeptics

The structural shift here is not that AI has arrived in compliance — it is that deployment has decoupled from validation. Nasdaq's abuse-detection platform ^[5] and South Korea's VISTA system ^[3] are live in production environments where errors carry legal and market-stability consequences. The BMLL–Features Analytics partnership framed its launch as a capability announcement, not a research result. When institutions at this scale treat deployment as the experiment, the feedback loop for catching failures runs through enforcement actions and market incidents — not controlled evaluation.