India, March 25 -- The Check Point AI Factory Blueprint comes at a time when enterprises are rapidly building private AI environments. These setups are no longer simple data centers. They combine GPU clusters, training pipelines, inference systems, and large data sets, making them both valuable and exposed.

This shift is driving a new kind of risk. As organisations move toward Sovereign AI data center India-like models, they are bringing sensitive workloads closer to home. But security architectures are still catching up.

AI infrastructure behaves differently from traditional systems. It runs distributed workloads, handles real-time inference, and relies on interconnected pipelines. This creates new vulnerabilities, data poisoning, mode...