Smaller financial institutions face structural disadvantages in meeting anti-money laundering (AML) compliance expectations, despite being held to the same regulatory standards as larger firms. Regulators… Read More »Why smaller FIs face structural disadvantages in AML compliance
The volume problem isn’t going away. But how you triage it can change. By the end of 2024, financial institutions were filing over 10,000 Suspicious… Read More »Smarter AML triage: How ranked scoring boosts risk prioritization
In many banks, aged alerts are reviewed in the order they were created, not based on the severity of the risk they represent. It’s a… Read More »Backlog = hidden risk: A ranking-based approach to AML case review prioritization
There’s a reason financial institutions push back on full-scale AML overhauls: they’re expensive, complex, and rarely deliver without disruption. Most legacy systems are deeply embedded… Read More »Don’t rip and replace: How modern AML models can overlay legacy systems
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Banks are unknowingly harboring undisclosed customers operating in high-risk sectors, and outdated AML systems and controls aren’t catching them.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
