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The meteoric rise of Generative AI (GenAI) enables businesses to process data faster, and in previously unimagined ways, but it also creates a slew of new risks around dataprivacy, security, and potential leaks.
The meteoric rise of Generative AI (GenAI) enables businesses to process data faster, and in previously unimagined ways, but it also creates a slew of new risks around dataprivacy, security, and potential leaks.
Three Keys to Modernizing DataSecurity: DSPM, AI, and Encryption andrew.gertz@t Tue, 01/21/2025 - 14:56 Discover how DSPM, AI, and encryption are transforming datasecurity strategies, reducing vulnerabilities, and improving compliance. Today, 137 of 194 countries have enacted dataprivacy legislation, per Omdia.
WeLiveSecurity WeLiveSecurity, published by ESET, provides authoritative security news and insights from researchers and experts worldwide. Threatpost Threatpost is a leading source of cybersecurity news and analysis, offering unique content on data breaches, cyber-attacks, and vulnerability disclosures.
With rich visualizations and detailed reports, you can more easily uncover and close your gaps, make better decisions about third-party data sharing and cloud migration, and proactively respond to dataprivacy and security regulations including GDPR, CCPA, LGPD, PCI DSS and HIPAA. Of course, they revise frequently.
A recent study based on responses from over 950 IT security professionals, Omdias Decision Maker Survey , uncovers the factors and the three keys organizations need to focus on to overcome this perfect storm. As data volumes skyrocket, dataprivacy legislation is rising in kind to ensure data is properly protected.
With rich visualizations and detailed reports, you can more easily uncover and close your gaps, make better decisions about third-party data sharing and cloud migration, and proactively respond to dataprivacy and security regulations including GDPR, CCPA, LGPD, PCI DSS and HIPAA. Of course, they revise frequently.
Machine learning (ML) tools leverage data to learn and improve without significant human intervention. The more data users input into a machine learning tool, the more it improves. This concept benefits AI cybersecurity tools; the more securityintelligence an ML tool has, the better it is at detecting and responding to threats.
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