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Branded calling for banks displays the institution’s verified name, logo, and reason for calling on the customer’s screen instead of an unknown number, so more fraud-alert and collections calls get answered. Built on authenticated signaling (STIR/SHAKEN) and Rich Call Data and orchestrated through Oracle OCCAS, it lifts answer rates while protecting the number f...

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Voice biometrics for banks – also called voice recognition biometrics – prevents account fraud by authenticating a caller from the unique characteristics of their voice, a “something you are” factor, instead of secrets a fraudster can steal, buy, or phish. Paired with liveness and deepfake detection inside a risk-based decision, it blocks human impostors and AI-...

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Phone spoofing prevention (also called caller ID or telephone spoofing prevention) is the combination of network-level call authentication, inbound risk scoring, and voice-identity controls a bank uses to stop falsified caller ID – both when fraudsters spoof a customer’s number to get into the contact center, and when they spoof the bank’s own number to deceive ...

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Something remarkable happened to software over the last couple of years. A founder with an idea and an afternoon can now describe an application in plain English and watch working code appear on the screen. A marketing lead can stand up an internal tool without filing a ticket. A product owner can prototype the thing they’ve been trying to explain for six months and finally j...


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Contact center fraud prevention is the set of technologies and controls a bank uses to stop voice-channel fraud in two directions at once: detecting spoofed, synthetic, or high-risk calls coming into the contact center (inbound spoof detection), and proving that calls the bank places out to customers are genuine (outbound call authenticity). They are two differe...

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