For years, financial institutions focused on expanding their data footprint, operating under the assumption that more inputs would yield better outcomes. But the explosion of artificial intelligence has exposed a critical flaw in that logic: without quality and context, data becomes noise.
At the same time, there’s a growing emphasis on immediacy. Payments is now a millisecond decisioning environment where fraud detection, authentication and approval must happen simultaneously.
“If you build silos where a system only has a view of online banking and it doesn’t look at mobile banking or call center data, those are siloed system views,” said Entersekt’s Chief Strategy Officer, Dewald Nolte. “Then it’s very easy for a fraudster to attack across those channels.”
The only effective countermeasure is a unified, real-time understanding of behavior across every touchpoint. And despite the promise of technology, even advanced AI systems will fail when fed flawed inputs. Without accurate context, automation amplifies errors instead of reducing them.