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Navigating the AI Gold Rush

A guide to protecting your sensitive and unstructured data used for and by LLMs

In the rapidly evolving landscape of artificial intelligence, harnessing the power of LLMs presents unprecedented opportunities—and challenges. As the widespread adoption of AI expands, the security of sensitive data and trade secrets becomes a growing concern for organizations aiming to stay ahead of the curve. This guide promises to help you integrate AI into your operations without compromising data security. 

  • Learn to navigate risks in using Large Language Models for safe and effective AI integration.
  • Essential protocols for adhering to stringent privacy laws, regulations, and confidentiality.
  • Evaluation criteria to consider when safeguarding data during ingestion, sanitization, and operation.
  • How to ensure unstructured data is never compromised during the training or operational use of LLMs.

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"AI is a great advantage to analysis. On the other hand, AI provides a problem in that if we've got all these documents, we need all of that data in the clear to apply the AI tools. However, AI and cryptography can come together to solve this problem."

Nigel Smart

Professor - COSIC (KU Leuven)