The risks of AI adoption are fueling a fast-growing market for AI security solutions. For instance, cloud-native application protection platforms (CNAPPs) have focused on AI development workflows. Early offerings such as these are an essential line of defense, but they’re not enough. Companies need to secure the entire AI lifecycle, including protecting AI systems once they’re running in production. The full scope of the AI security challenge is becoming all too clear. Today, developers are building AI features, employees are using external AI tools, and customers are interacting with AI-powered applications. Securing all these different environments manually is complex, and doing it consistently is even harder.