Accuracy & Defensibility
When AI Gets It Wrong: The Cost of False Positives
Enterprise AI teams have spent years chasing precision. The conversation needs to shift.
Perspectives
On financial crime investigation, accuracy in AI, and the institutions that defend the financial system.
When AI Gets It Wrong: The Cost of False Positives
Enterprise AI teams have spent years chasing precision. The conversation needs to shift.
Accuracy & Defensibility
The Hard Part of AI Agents Isn’t Building Them
No two agents are the same, and the interfaces for managing them shouldn't be either.
Investigation Intelligence
New AML Directives and What They Mean for Compliance Teams
The most significant regulatory overhaul in a decade—mapped to what compliance teams actually need to do.
Regulation & Compliance
How Banks Are Using Graph Networks to Trace Shell Companies
Graph-based detection surfaces the structural patterns that link entities across thousands of nodes.
Investigation Intelligence
The Explainability Problem: Why Black-Box AI Fails in Court
Courts do not accept "the model said so." For financial crime AI, explainability is a legal requirement.
Accuracy & Defensibility
FATF’s Guidance on Virtual Assets: A Practical Breakdown
The three sections most likely to affect your program and the questions to ask your vendors.
Regulation & Compliance
Fincrime Technology Is Growing — But Is It Maturing?
Buyers are navigating a space where marketing vocabulary is used by products with fundamentally different architectures.
Industry
The Rise of Synthetic Identity Fraud and Why It’s So Hard to Stop
Detection requires cross-institutional signal sharing that current compliance infrastructure was not designed to support.
Financial Crime
Inside Our Model Governance Framework
What we built, the decisions that shaped it, and the open questions we are still working through.
Company