Building Confidential Inference Systems: Securely Deploy Frontier Models On-Prem and Protect Enterprise Data

Enterprises are rapidly moving AI into production, but a critical risk remains: protecting AI models and sensitive data during inference. Traditional security protects data at rest and in transit, but not in use, where models and data are most exposed. This creates a real risk of model theft, data leakage, and compliance failures.

Fortanix Confidential AI closes this gap by securing both AI model IP and sensitive data during execution using hardware-based Confidential Computing. With encrypted CPU and GPU enclaves and cryptographic attestation, workloads run in trusted environments, protected even from privileged access.

What You’ll Learn

• Why inference is the highest-risk stage in AI
• How model weights and sensitive data are exposed in memory
• How Confidential Computing protects AI in use
• How to securely deploy third-party or proprietary models
• Architecture for trusted, scalable confidential inferenc

Unlock Trusted AI at Scale by learning how to run AI workloads with verifiable trust, security, and compliance without compromise.