By Brett Erickson, guest contributor 2025-08-29T20:52:00
In financial institutions across the United States, there’s a reflex that’s become almost ritual.
When a regulator walks in, or a board member asks whether the AML program is working, the answer is the same: “We just passed audit.” It’s delivered with confidence, sometimes even pride, as if the risk has been neutralized. But passing audit doesn’t mean your program is safe.
It doesn’t mean it’s effective. And in today’s threat landscape, it doesn’t mean much of anything at all.
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2026-02-25T20:38:00Z By Brett Erickson, CW guest columnist
Financial crime in the U.S. isn’t just evolving; it is accelerating faster than most institutions can adapt.
2025-10-14T19:44:00Z By Anna Grover, CW guest columnist
Most compliance professionals have faced it: a regulator or client requests a policy, and several slightly different “final” versions appear. The issue often stems from reactive, siloed work without a unified governance framework.
2025-09-19T17:19:00Z By Erica Curry, CW guest columnist
Decision debt is the practice of leaving key compliance decisions unresolved, and it is a crisis few compliance leaders are willing to name. Some of the world’s largest financial institutions, including Wells Fargo and Citibank, have learned this lesson the hard way.
2026-03-19T14:43:00Z By Tom Fox
A sweeping proposed federal procurement clause would push AI oversight out of policy decks and into compliance operations, vendor management, and real-time control testing.
2026-03-13T15:48:00Z By Tegan Gebert, Chris Audet and Doug Eckstein, CW guest columnists
New Gartner research reveals why traditional risk management is failing to keep pace with modern risks, and outlines how compliance leaders must enable organizational risk owners to build an instinctive Risk Reflex.
2026-03-12T20:37:00Z By Jonny Frank and Michael Costa, CW guest columnists
AI elevates compliance, or exposes it. The technology presents compliance leaders and lawyers with an extraordinary opportunity to elevate their roles, as well as an equally extraordinary risk of accountability when AI fails, misleads, discriminates, hallucinates, or generates unreliable outputs.
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