Large language models are AI systems that analyze data and generate insights or decisions based on complex patterns, with tools like ChatGPT being widely used examples. These models rely on large volumes of data gathered through direct input, public sources, or data in transit to function effectively. Their capabilities make them powerful for automation, analysis, and decision-making, but they also introduce security concerns. If data sources are compromised or intercepted, sensitive information can be exposed or misused. As a result, protecting the data feeding these models and ensuring secure data flows are essential to maintaining trust, accuracy, and privacy in AI-driven systems.

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