The container is where the AI model meets real-world use. It’s not just where the model lives, it’s also where the application interacts with it. This is where the model is activated, where inputs are generated, where responses are used, and where real behavior
happens. Cloud providers can’t see it. Network tools? Forget about it. Only deep container level visibility gives us the control we need to protect AI at runtime.