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The cyber security threat landscape in financial services

Insights on Business

Gary Meshell, WW Leader Financial Services, IBM Security, opened his IBM Think 2019 talk, How Financial Services Companies Should Respond to Cyber Security Attacks with a bold assertion and truism. IBM and TD Bank jointly developed cyber security incident response solution for the financial services industry.

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Proposed new cyber security regulations will be a huge undertaking for financial institutions

Celent Banking

New York State Department of Financial Services (NYDSF) is one step closer to releasing cyber security regulations aided by the largest security hacking breach in history, against JP Morgan Chase. Mandated training of security will be required. Information security. Data governance and classification.

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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. What data is shared with the supplier?

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KPMG: How AI Defense Can Counter Faster Payments Fraud

PYMNTS

Such a scenario stands as a terrifying example of not only the sophistication of criminals, but also the threat of fraud in a real-time payments environment. Ron Plesco, principal of Cyber Security, and Bob Ruark, principal of Banking and Financial Services Strategy and KPMG’s FinTech leader in the U.S. . – The antidote?

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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.

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Bank Regulators Seeking Comments on the Use of AI and ML in the Industry

Perficient

fraud detection and financial crime monitoring). It involves using software to analyze both structured and unstructured data (i.e., email, text, audio data), with the aim of identifying fraud or anomalous transactions. Risk Management. AI may be used to augment risk management and control practices.

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4 considerations for banking leaders concerned about cyber security

NCR

With that comes the need to protect the data associated with all types of banking transactions. The overall risk management framework of any institution, including banks, should include cybersecurity considerations. In many cases, the opportunity to stop fraud begins with the customer. Evaluation of Risk.