Tag: explainable AI

AI has shifted from hype to reality in financial crime prevention—and 2025 has made that clearer than ever. Across top industry events such as...

AI is rapidly reconfiguring how financial institutions approach investigations, shifting the focus from manual data gathering to instant, context-rich insight. For years, analysts inside...

For decades, financial institutions have relied on the same traditional compliance model — rules-based systems designed to flag suspicious activity and generate reports for...

Financial institutions are rethinking how they approach compliance, moving away from outdated manual processes and reactive oversight towards AI-powered intelligence and agility. As regulatory demands...

Austin-based Polygraf AI, a secure and explainable AI solutions firm, has raised $9.5m in seed funding to accelerate its mission of bringing trust and...

AI is transforming AML, but one critical challenge persists: transparency. In regulated industries, credibility rests on explainability. If executives can’t understand a model, they...

Financial institutions worldwide continue to face hefty penalties for shortcomings in anti-money laundering (AML) procedures, with fines often reaching into the tens of millions. Napier...

Financial institutions are facing unprecedented pressure as payment fraud grows more complex and relentless. Attack volumes are increasing, schemes are more sophisticated, and the time...

WorkFusion’s AI Agents are redefining how financial institutions approach complex compliance and operational processes. According to Workfusion, with a decade of innovation in artificial...

As financial institutions move from experimentation to practical implementation of generative AI, a critical question emerges: how can this technology be responsibly integrated into financial crime compliance frameworks without creating new risks?