Tag: explainable AI

When a suspicious transaction triggers an alert inside a major financial institution, an analyst’s first task is usually to collect data rather than assess...

For years, financial crime compliance has operated under a static, rules-based model that once served banks well. These systems flagged transactions that crossed predefined thresholds,...

Leading financial institutions are rethinking compliance, shifting it from a traditional cost centre to a core driver of agility, intelligence, and resilience. As regulatory...

Polygraf AI has raised $9.5m in seed funding to scale its secure AI technology for enterprise, defence and intelligence applications. The round was led by...

In the world of anti-money laundering (AML), credibility depends on more than mathematical performance. If models cannot be explained clearly, executives won’t trust them...

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...

AI-powered fraud prevention is rapidly transforming the financial services sector. Yet, despite the industry pouring billions into defences, global fraud losses exceeded $1tn last...

Payment fraud has become one of the toughest challenges facing financial institutions. Attack volumes are rising, criminals are using increasingly sophisticated methods, and the...

WorkFusion is redefining how organisations in regulated industries deploy artificial intelligence with a unique approach to AI Agents—designed from the ground up to be...

Generative AI has fast become a major talking point across the financial sector, but as financial firms shift from small pilots to large-scale deployment, the spotlight is on how this powerful technology can be embedded responsibly into anti-financial crime frameworks.