Securing Your AI Future in the Cloud
The rapid adoption of AI and cloud technologies has transformed business operations but introduced new security risks. As organizations rely on cloud-based AI workloads and datastores, they face threats like data poisoning, prompt injection, and model inversion attacks.
This white paper explores securing AI data and workloads in a multicloud environment. It outlines key risks, such as visibility gaps and policy inconsistencies, that expose critical AI assets. The paper introduces Prisma Cloud, a cloud-native application protection platform using AI and machine learning to counter these threats.
Key capabilities include AI-powered risk modeling and visibility across the model lifecycle.