Operations | Monitoring | ITSM | DevOps | Cloud

Watch to explore how to ensure data security and privacy in AI applications that employ Large Language Models (LLMs). As generative AI becomes increasingly vital for enterprises – especially in applications such as chatbots utilizing Retrieval-Augmented Generation (RAG) systems – ensuring the security and confidentiality of data within these frameworks is essential. During this webinar: We will introduce confidential computing as a method for safeguarding data, with a specific focus on its application within RAG systems for securing data during usage or processing;

When performing machine learning tasks in the cloud, enterprises understandably have concerns about the potential compromise of their sensitive data privacy as well as their model’s intellectual property. Additionally, stringent industry regulations often prohibit the sharing of such data. This makes it difficult, or outright impossible, to utilise large amounts of valuable private data, limiting the true potential of AI across crucial domains.

Modern web applications require a balance between performance, scalability, and ease of development. Valkey is an open-source (BSD) high-performance key/value datastore that supports various workloads such as caching and message queues and can act as a primary database. This makes Valkey an ideal database for running modern web applications.