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U.S. Bank: Machine Learning Is Banks’ Best Bet Against Fraud

PYMNTS

Banks lost about $4 billion to account takeover (ATO) fraud attempts last year and fraudsters have been reluctant to abandon the scheme as this year progresses. Fraudsters made off with account numbers and other personal details, which could later be used for different synthetic identity fraud or related schemes. market debut.

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Signifyd Data Shows Fraud Is Actually Declining

PYMNTS

Fraud isn’t perpetrated by a random assortment of individuals; it’s organized crime. It’s “fraud as a Service.” It’s a very unfair match, if you ask Skye Spear, VP of eCommerce fraud-fighting firm Signifyd. “I Classic fraud deflection is rules-based. Fraud is dynamic. It’s a business. percent in Q1 2017.

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Banking Is Only The Beginning: 30 Big Industries Blockchain Could Transform

CB Insights

Ultimately, the use cases for a transparent, verifiable register of transaction data are practically endless — especially since blockchain operates through a decentralized platform requiring no central supervision, while still remaining resistant to fraud. Even now, blockchain is creating new a new “predictions market.”