Large language models pose growing security risks
Live MintCybersecurity threats are bound to multiply as large language models are commoditized, a process that seemed to take a big leap forward when China’s DeepSeek apparently showed LLMs can be built at lower cost than previously thought. Such threats are bound to multiply as LLMs are commoditized, a process that seemed to take a big leap forward when China’s DeepSeek apparently showed LLMs can be built at lower cost than previously thought. Former Israeli Prime Minister Naftali Bennett, whose career as a tech entrepreneur predates his role in politics and government, frames the global AI race as a “slippery road car chase" in which U.S. companies at the front of the pack are pursued by rivals closing the distance much faster than expected. There is no single step or tool for securing LLMs, but companies can start by understanding the lineage of data used in training and operating the models, and be careful not to implicitly trust their output of LLMs, according to Jim Siders, chief information officer at data analytics giant Palantir.
History of this topic
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