Defending Your AI Future with Prisma Cloud

The integration of AI into hybrid and cloud environments is rapidly gaining momentum as companies across all industries recognize AI’s potential in driving digital transformation and future growth. To handle the colossal volumes of data and execute energy-intensive AI workloads, organizations are turning to cloud services, increasingly adopting multicloud and hybrid cloud deployments to support and scale their AI initiatives. Virtual machines, cloud container services like Kubernetes®, and extensive cloud datastores form the backbone of large language models (LLMs), retrieval augmented generation (RAG), and AI agents. 

The allure of the cloud lies in its provision of a scalable, adaptable, and cost-efficient foundation for AI workloads with the required compute power. This allows organizations to seamlessly scale up or down without incurring exorbitant physical infrastructure costs.

Find out in this whitepaper how Prisma Cloud helps defend your AI future.