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Four Steps for Managing Third-Party Cyber Security Risk

FICO

As TPRM or third-party risk management grows in importance, so does cybersecurity risk assessment as part of it. The latest Assessment of Business Cyber Risk (ABC) report from the US Chamber of Commerce and FICO discusses four steps for improving third-party cybersecurity risk management.

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4 considerations for banking leaders concerned about cyber security

NCR

Evaluation of Risk. The overall risk management framework of any institution, including banks, should include cybersecurity considerations. While the ISO reports to the board on all cybersecurity, the degree to which this person is engaged across all banking functions can make a significant difference preventing digital fraud.

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Modern Bank Robbery: Addressing Cyber Fraud in Retail Financial Services

Cisco

After decades of battling credit card fraud, retail banks face a new challenge: fraudulent account takeover. The rise in high-impact fraud. The Javelin 2019 Identity Fraud Report notes that, “While existing card fraud losses dropped from $8.1 New account fraud is on the rise, with cost estimates up to $3.4

Fraud 63
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Synthetic Identities: From Data Breaches to Auto Loan Fraud

FICO

Fraud and data breaches have always had a close, if destructive, relationship. As the US transitioned to hard-to-counterfeit EMV payment card technology several years ago, criminals flocked to card not present (CNP) fraud , often combining identity fragments and card numbers stolen in breaches to make illicit purchases online.

Fraud 70
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Modern Bank Robbery: Addressing Cyber Fraud in Retail Financial Services

Cisco

After decades of battling credit card fraud, retail banks face a new challenge: fraudulent account takeover. The rise in high-impact fraud. The Javelin 2019 Identity Fraud Report notes that, “While existing card fraud losses dropped from $8.1 New account fraud is on the rise, with cost estimates up to $3.4

Fraud 48
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Are you onboard with AI?

NCR

The need to adopt smarter tools has never been more vital. ” Fighting fraud with machine learning. Machine learning has many potential applications in the financial services industry – in areas such as risk management, evaluating creditworthiness and product targeting, for example.

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Frictionless Payments Take Center Stage at Money 20/20

Gonzobanker

While consumers and payment providers may hope for frictionless payments, the execution path will require new capabilities and deployments in fraud mitigation, cyber security, open APIs, and enhanced interoperability. My colleague Ryan Rackley summed it up perfectly when he referred to social media as the “new tattoo.”.