For years, enterprise data security prioritized securing data at rest and data in transit. However, as distributed multi-tenant workloads scale across public clouds, data in use has become the ultimate vulnerability. High-stakes industries—from global fintech networks to highly regulated healthcare platforms—are reaching a structural limit with traditional isolation boundaries. Virtual Machine or container separation is no longer sufficient when handling cross-border data pipelines or multi-tenant AI inference engines. The enterprise response to this risk is a massive structural paradigm shift toward hardware-enforced Confidential Computing using hardware-isolated Trusted Execution Environments (TEEs). By decoupling data security from the underlying host operating system or hypervisor, TEEs encrypt data directly in the CPU memory layer. Even with root access, cloud providers or compromised infrastructure layers cannot peek into the runtime memory.…