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The rise of generative AI in payment security: A double-edged sword for data privacy

The Payments Association

The dual impact of generative AI on payment security, highlighting its potential to enhance fraud detection while posing significant data privacy risks. It underscores the need for payment firms to balance AI innovation with robust privacy and regulatory compliance to protect sensitive consumer data. Why is it important?

Privacy 88
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Protecting Customer Data: Key Principles Every Company Should Know

VISTA InfoSec

In the digital age, protecting customer data is a cornerstone of trust and reliability between a company and its consumers. As cyber threats loom larger and data breaches become more frequent, safeguarding sensitive information cannot be ignored. You should also regularly review stored data and purge what is no longer needed.

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The Role of PCBs in Cybersecurity

VISTA InfoSec

As fraudsters are continuously finding new ways to strike, we’re continuously finding new ways to prevent them with controls such as encryption, multi-factor authentication, fraud detection software, etc. The TPM can securely store and generate cryptographic keys, passwords, certificates, and encryption keys. However, manufacturers DO.

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Guarding the Gates: Data Compliance and Privacy

Segpay

Striking the Balance Between ID Management and Data Protection In the digital age, where data drives everything from marketing strategies to AI algorithms, a growing number of citizens are worried about the protection of their personal data. If a breach occurs, identity data, once compromised, is hard to restore.

Privacy 105
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Remote Work Business Continuity: Best Practices

VISTA InfoSec

Data privacy and security Protecting your data and taking preventive measures to keep it away from fraudsters is important in the era of remote work. The following are some of the consequences when data privacy and security are compromised: Productivity loss. Data breaches don’t easily get overlooked.

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GDPR and Biometric Data: Ethical Considerations and Privacy Implications

VISTA InfoSec

As technology advances and the use of biometric data becomes more prevalent, it is crucial to address the privacy concerns and regulatory compliance associated with this sensitive data. Artificial Intelligence (AI) can also be utilized to ensure compliance and responsible handling of biometric data. Clearview AI Inc.

Privacy 130
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How is Regtech Enabling More Robust Data Protection and Privacy Compliance?

The Fintech Times

When it comes to cybersecurity, the topic of data protection and privacy is arguably one of the most important. While it is imperative that firms keep data safe to ensure compliance with local regulators, it is also important to ensure that they retain the trust of their existing and prospective customers.

Privacy 107