Tag: explainable AI

After several years dominated by pressure to maximise returns from technology investment, financial institutions are entering a new phase in 2026: recalibrating how AI...

Regulatory attitudes towards artificial intelligence in financial services appear to be softening, as banks grow more confident that supervisors will increasingly support AI-led innovation. New...

AI readiness has emerged as one of the most pressing challenges—and opportunities—for financial institutions heading into 2026. According to Quantifind, the message was clear across...

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...