Tag: Compliance Automation

For many compliance professionals, keeping up with regulatory change is like flying a plane while simultaneously building the runway—with a blindfold on. The rules...

The regulatory landscape is changing rapidly, creating growing challenges for businesses to keep up.

A significant U.S. tax reform proposal—nicknamed the “One Big Beautiful Bill”—has cleared the House of Representatives and is now under review by the Senate. While the bill is not yet law, it introduces a series of changes that could have a substantial impact on how international businesses manage information reporting, tax withholding, and jurisdictional compliance.

Scytale has announced the acquisition of AudITech, a specialist in SOX ITGC automation, as part of its expansion to offer a fully integrated enterprise...

Simetrik, a FinTech company specialising in AI-driven financial reconciliation, has secured a total of $85m in Series B funding to support its global expansion.

Traditionally centred on retail banking, AML scrutiny now extends to fast-paced trading environments, where thousands of cross-border and high-frequency transactions occur every second.

Artificial intelligence is streamlining how firms approach regulatory change management, replacing time-consuming manual tasks with fast, data-driven insights. In a world where over 60,000 regulatory alerts were recorded in a single year, staying compliant is more complex than ever. AI is emerging as a vital tool to help businesses stay ahead.

Fenergo, a leading provider of digital solutions for CLM and regulatory compliance, has introduced its FinCrime OS. The new platform marks a significant evolution in...

Greenlite AI has secured $15m in a Series A funding round aimed at expanding its trusted AI workforce for combating financial crime. The round was backed...

AI is becoming essential in the fight against financial crime, but many financial institutions still rely on legacy systems that weren’t designed to support AI-driven tools. Successfully integrating AI requires a phased, strategic approach to avoid costly disruptions and ensure compliance.