Organizations want to apply state-of-the-art AI to their most valuable data, but traditional deployment models create a fundamental trust problem. Sensitive data cannot leave controlled environments, while proprietary models cannot be exposed inside infrastructure their owners do not trust.
Confidential AI
Bring Frontier AI to Your Most Sensitive Data
Run proprietary and fine-tuned AI models on regulated and sensitive enterprise data while protecting both data and model IP throughout processing with hardware-isolated confidential execution.
The Confidential AI Challenge
Bringing Advanced AI to Sensitive Data Requires a New Trust Model
Sensitive Data Must Remain Under Enterprise Control
Regulatory, sovereignty, and security requirements can prevent sensitive enterprise data from moving to externally hosted AI services or beyond established security boundaries.
Proprietary Model IP Can’t Be Exposed
Model weights represent valuable intellectual property. Model providers need to serve enterprise customers without exposing proprietary assets to customers, infrastructure operators, or administrators.
Active AI Workloads Remain Exposed
Protecting data at rest and in transit is not enough. During AI processing, privileged infrastructure operators may otherwise have access to sensitive data, model weights, or workload memory.