In the rapidly evolving landscape of technological innovation, organizations are increasingly adopting ChatGPT and other Generative AI applications powered by large language models (LLMs).

Lee S

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Learn about the fundamentals of security for enterprise large language models (LLMs) and understand the top 15 use cases for LLMs in various industries. Discover how LLMs work, including their training process and architecture. Explore the implications of LLMs on existing access control lists (ACLs) and the challenges of applying ACL controls to mixed data models. Uncover the different types of attacks that LLMs are vulnerable to and the associated threats, such as data leakage, fraud, intrusion, malware, bias, and over-reliance. Gain insights into the importance of robust security frameworks to mitigate these risks.

The Fundamentals of Security for Enterprise LLMs: What You Need to Know

Understanding the Foundations of Large Language Models