Establishing a Governance Framework for AI-Powered Applications

Artificial intelligence (AI) is advancing rapidly, with organizations across myriad industries deploying AI-powered applications at an unprecedented pace. In Prisma Cloud’s The State of Cloud-Native Security Report 20241, for example, 100% of survey respondents said they are embracing AI-assisted application development—an astonishing result for a technology many considered science fiction just a few years ago. However, while AI systems offer significant benefits, they also introduce novel security risks and governance challenges that traditional cybersecurity approaches are ill-equipped to handle.

As a security leader, it is imperative to understand the current state of AI, its potential implications, and the unique risks it poses to your organization. This whitepaper provides an overview of the AI landscape, highlights key security considerations, and proposes a governance framework to help you navigate this complex terrain. You will get a clear understanding of the key AI technologies your organization might be exploring and their security implications, as well as the potential guardrails and mitigations you’ll need to consider. We’ll also help you understand the factors you’ll need to take into account when building your AI security strategy.