Tag: Anti-Money Laundering
How businesses can detect sanctions evasion in 2026
Governments around the world deploy sanctions as a critical tool for limiting the access of financial criminals to global financial systems. Yet, as these...
How agentic AI is reshaping financial crime compliance
Banks face a persistent tension at the heart of modern compliance: financial crime never stops, yet the systems built to combat it remain largely...
Why EMIs must unify AML screening and monitoring now
For many Electronic Money Institutions (EMIs), the following scenario will ring uncomfortably true: a screening tool flags a customer; moments later, the monitoring engine...
The true cost of poor AML compliance in 2026
Eight in ten UK businesses would walk away from a partner following a single compliance breach — not scale back the relationship, not increase...
SymphonyAI helps payments giant slashes compliance
A global payments processor operating across more than 200 countries and territories has overhauled its compliance and financial crime operations by deploying SymphonyAI's cloud-native...
How agentic AI transforms risk-based compliance
The risk-based approach (RBA) has been a cornerstone of anti-money laundering (AML) compliance. Yet, the RBA has largely been deployed as a static governance...
FinCEN reform puts AI at the heart of AML/CFT compliance
The US Department of the Treasury's Financial Crimes Enforcement Network (FinCEN) published a Notice of Proposed Rulemaking (NPRM) on 7 April, setting out sweeping...
Experian launches AI fraud detection tool for UK banks
Experian, a global data analytics company, has gone live with Transaction Forensics, a new AI-driven solution developed alongside Resistant AI to tackle fraud and...
How technology is transforming financial crime risk management
For decades, financial crime risk assessments operated on a deceptively simple premise: capture organisational risk once a year, consolidate it into a weighty report,...
Compliance-first AI: meeting FCA’s AML standards
Napier AI has outlined how financial institutions can confidently adopt artificial intelligence in anti-money laundering (AML) operations whilst remaining compliant under Financial Conduct Authority...










