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Related: GenAI’s impact on elections It turns out that the vast datasets churned out by cybersecurity toolsets happen to be tailor-made for ingestion by Generative AI ( GenAI ) engines and Large Language Models ( LLMs.) LW: How much potential does GenAI and LLL to be a difference maker in cybersecurity?
Unlike traditional deep learning systems – which generally analyze words or tokens in small bunches – this technology could find the relationships among enormous sets of unstructureddata like Wikipedia or Reddit. This involved assigning probabilities to the tokens across thousands of dimensions.
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, unstructureddata (such as that found in stray files and emails) is more difficult to locate.
As if things were not difficult enough, data collection in more states and countries is becoming stricter, with increased consumer protection laws leaving retailers applying tighter dataprivacy to their digital platforms. The human element risk cannot be understated.
As if things were not difficult enough, data collection in more states and countries is becoming stricter, with increased consumer protection laws leaving retailers applying tighter dataprivacy to their digital platforms. The human element risk cannot be understated.
Software Engineering Manager, Google Cloud and included a partner spotlight from Austin Chiu, Strategic Client Director at Thales. Google Cloud, Intel, and Thales jointly deliver End-to-End Data Protection (E2EDP) to help organizations confidently address these challenges. Watch the session on YouTube. Watch the session recording.
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