Showing only posts by Riggs Goodman III. Show all posts.

Implement effective data authorization mechanisms to secure your data used in generative AI applications – part 2

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In part 1 of this blog series, we walked through the risks associated with using sensitive data as part of your generative AI application. This overview provided a baseline of the challenges of using sensitive data with a non-deterministic large language model (LLM) and how to mitigate these challenges …

Implement effective data authorization mechanisms to secure your data used in generative AI applications

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Data security and data authorization, as distinct from user authorization, is a critical component of business workload architectures. Its importance has grown with the evolution of artificial intelligence (AI) technology, with generative AI introducing new opportunities to use internal data sources with large language models (LLMs) and multimodal foundation …

Network perimeter security protections for generative AI

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Generative AI–based applications have grown in popularity in the last couple of years. Applications built with large language models (LLMs) have the potential to increase the value companies bring to their customers. In this blog post, we dive deep into network perimeter protection for generative AI applications. We …