Remove Data privacy Remove Healthcare Remove Unstructured Data
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NEWS ANALYSIS Q&A: The early going of Generative AI and LLMs impacting cybersecurity

The Last Watchdog

Integrating GenAI and LLMs into cybersecurity frameworks requires overcoming complex challenges, such as ensuring the models can handle the nuances of cyber threats, addressing data privacy concerns, adapting to the dynamic nature of the threat landscape, and dealing with inaccuracies and incomplete data sets that may lead to misleading outputs.

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How Machine Learning Can Accelerate and Improve the Accuracy of Sensitive Data Classification

Thales Cloud Protection & Licensing

Part of this process includes identifying where and how data is stored—on-premises, in third-party servers or in the cloud. While an organization might already know the location of structured data such as a primary customer database store, unstructured data (such as that found in stray files and emails) is more difficult to locate.

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Best Encryption Software for 2022

eSecurity Planet

government and other highly regulated sectors like finance and healthcare. Data in Use Encryption. Another way encryption technology is advancing is through the encryption of data as it’s being processed and analyzed. Protects both structured and unstructured data. Key Differentiators.