"Identity checks used to be a box‑tick. Now they're a living, constantly updated signal. Financial firms are moving to real time verification systems that pull from multiple data sources so that onboarding, account monitoring, and risk scoring can be recalculated on the fly. Some firms are even pairing identity insights with longevity and asset data to keep compliance and investment operations aligned."
"Advanced AI may be catalysing business growth, but it isn't helpful in an anti-money laundering context if compliance officers can't explain why it triggered an alert. That's why explainability is becoming mandatory, not optional. In a study published by AuthBridge, researchers noted that institutions adopting more transparent AI models are seeing faster case resolution and fewer unresolved alerts piling up. Explainable AI gives compliance teams:"
Real-time identity and mortality verification are replacing static identity checks with continuously updated signals drawn from multiple data sources to enable on-the-fly onboarding, account monitoring, and risk scoring. Pairing identity insights with longevity and asset data helps de-risk long-term assets, particularly in life settlements and wealth planning. Explainable AI is becoming required for AML to ensure alerts are interpretable, speed case resolution, and reduce unresolved alerts. Firms adopting transparent AI models report faster investigations. Privacy and data protection must be prioritized alongside AI deployment. Teams need simple, operational steps to adapt without overwhelming workflows.
Read at Business Matters
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