What happens when your AI moves faster than your compliance team can follow? Unfortunately, this is an actual risk and it’s leaving a huge gap.… Read More »AI vs AML Compliance: 6 questions every firm should be asking
Customer Risk Ratings (CRRs) play a central role in anti-money laundering and counter-terrorist financing (AML/CFT) strategies. But in many institutions, the way CRRs are calculated… Read More »Rethinking risk ratings: a collaborative data-driven approach
Criminal behavior adapts quickly along with its ability to exploit gaps within AML controls; the moment one detection gap closes, another is found. Transaction Monitoring… Read More »Why your AML controls should evolve faster than financial crime does
How do you find extremely rare instances of financial crime hidden among millions of legitimate transactions? It’s like finding a needle in a haystack. Until… Read More »Rare event detection: how Federated Learning transforms AML
Banks are unknowingly harboring undisclosed customers operating in high-risk sectors, and outdated AML systems and controls aren’t catching them. Financial criminals move billions through MSBs,… Read More »How Consilient’s new models detects hidden high-risk typologies
Your customer database likely contains several high-risk businesses you don’t know about. These entities didn’t declare their true activities during onboarding—and your AML systems aren’t… Read More »Five high-risk typologies financial institutions frequently miss
Financial institutions face an uncomfortable truth: despite investing billions in anti-money laundering controls, they’re losing the battle against financial crime in correspondent banking. As we’ve… Read More »Visibility gaps in Correspondent Banking: why traditional controls miss hidden risks
Correspondent banking is essential for global trade and cross-border payments, but it comes with significant risks that traditional systems struggle to manage. Banks are expected… Read More »Solving Correspondent Banking compliance: Consilient’s new model
Financial institutions paid more than $3.2 billion in AML-related fines last year. From major banks to emerging FinTechs, the message from regulators was clear—poor AML… Read More »What banks did wrong in 2024: Critical AML failures and essential lessons
Outdated AML systems are costing you more than just time. Industry frustration is at boiling point. Traditional AML solutions are overwhelmed, drowning compliance and investigation… Read More »Why banks are switching to Consilient’s federated machine learning AML/CFT model
