Kubernetes Security in 2025: The De Facto Platform of GenAI Applications
Over the past year, there has been a culmination of hype and excitement around Generative AI (GenAI). Most organizations initiated proof-of-concept projects for GenAI, eager to reap the technology’s benefits, which range from improved operational efficiency to cost reductions. According to recent research, 88% of organizations are in the midst of actively investigating GenAI, transcending other AI applications. However, the vast majority of organizations have yet to surpass this initial proof-of-concept stage and graduate GenAI applications into production. As we move into 2025, more organizations will begin to formalize their GenAI strategies, creating and deploying a host of new GenAI applications across their infrastructure.
Creating GenAI Applications with Kubernetes
As organizations build out GenAI applications, they will leverage many different GenAI models. To optimize, and derive the most value and accuracy from their GenAI applications, enterprises will utilize proprietary data to create these models, primarily through a Retrieval-Augmented Generation (RAG) architecture. A RAG architecture enables organizations to customize models based on company data, so that GenAI applications are personalized to an enterprise and their specific use cases. Most GenAI applications will contain proprietary company data as a result of this approach, creating many security concerns for organizations.
Consequently, some Continue reading
