Fingerprint trains specialized models to detect distinct fraud types - Help Net Security
Fingerprint has launched Fraud Score, a predictive fraud signal trained directly on customers’ own fraud outcomes and powered by Fingerprint’s device intelligence and machine learning models. Fraud Score learns the fraud types at each organization to help them identify fraud more accurately without having to build and maintain their own models.
“Businesses today face a wider range of fraud threats, amplified by AI-powered techniques,” said Suzanne Sando, Lead Analyst at Javelin Strategy & Research. “Those threats vary by organization and attack type, but one thing is clear: static, one-size-fits-all risk scoring is no longer enough.”
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Fingerprint trains specialized models to detect distinct fraud types - Help Net Security
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Fingerprint has launched Fraud Score, a predictive fraud signal trained directly on customers’ own fraud outcomes and powered by Fingerprint’s device intelligence and machine learning models. Fraud Score learns the fraud types at each organization to help them identify fraud more accurately without having to build and maintain their own models.
“Businesses today face a wider range of fraud threats, amplified by AI-powered techniques,” said Suzanne Sando, Lead Analyst at Javelin Strategy & Research. “Those threats vary by organization and attack type, but one thing is clear: static, one-size-fits-all risk scoring is no longer enough.”