Confidential Computing Enables Secure AI for Enterprises

Confidential Computing encrypts data while it is being processed, using a hardware‑based Trusted Execution Environment (TEE) on the processor. This prevents even the AI model provider from accessing the raw data, addressing a key security gap in conventional cloud AI.

Leonard Püttmann, Solutions Architect AI at accompio, explains that the technology adds only a modest 5‑10% performance overhead and currently supports open‑source AI models, covering roughly 90‑95% of typical enterprise use cases. It is especially relevant for companies handling sensitive information such as patents, internal documents, or health records, many of which run AI workloads on cloud servers outside the European Union.

The article outlines how Confidential Computing differs from standard encryption, which protects data only in transit and at rest, and provides practical steps for organisations to adopt the approach.