Overview

The rise of GenAI has happened so quickly that enterprise security teams find themselves scrambling to orient themselves to a completely new and alien set of risks. In traditional enterprise security, threats are predominantly external and largely predictable: securing infrastructure is challenging, but at least defenders know where to look. With AI, the technology is the vulnerability, from its training data and model pipelines to the autonomy afforded to agents. With AI, everything and anything can be turned against its makers.

This attack surface is vast and difficult to quantify in traditional enterprise security terms. Because AI can be manipulated using natural language prompts, the possibilities are open-ended. In one context, a prompt might be legitimate, but in another, dangerous — distinguishing good from bad is inherently complex.

To have any chance of coping with this new world, security teams need a new generation of tools that not only make threats visible but manage them in real time. Continuous governance is central to this because it provides the structure and accountability that allows enterprises to understand and manage what they are exposing themselves to across their AI operations.