Building Confidential Inference Systems: Securely Deploy Frontier Models On-Prem and Protect Enterprise Data
The most dangerous moment in any AI deployment is inference - when live, sensitive data meets a proprietary model inside GPU memory, both unprotected by traditional security controls. Fortanix Confidential AI closes this gap with a three-party Confidential Inference System involving the model owner, the enterprise end user, and Fortanix as the trust anchor. Neither party ever sees the other's assets.
Meet Fortanix at Dell Technologies World 2026
Stop by Booth 115 to see how Fortanix secures enterprise AI by protecting sensitive data, models, and agentic applications across AI factories, clouds, and on-prem environments.
From sovereign to multi-tenant deployments and confidential inference at scale, our team will be onsite to show how Fortanix Confidential AI enables innovation with trust, security, and sovereignty at the core.
A Handbook To Confidential AI
Enterprises are sitting on sensitive data they can't send to the cloud. AI model providers have proprietary models they can't safely hand over to enterprise infrastructure. This paradox has blocked enterprise AI adoption at scale — until now.
Fortanix Confidential AI resolves this deadlock by securing AI workloads while they're actively running, not just at rest or in transit. The result: enterprises can finally run frontier AI models on their own sensitive data, and model owners can deploy their crown-jewel IP without fear of extraction. Fortanix Confidential AI, built on NVIDIA Hopper and Blackwell GPUs, makes this a production reality today.
What is Confidential AI
Understand the basics of confidential computing and how it helps protect proprietary model IP and sensitive data during inference.
Confidential AI For The Enterprise
Large enterprises face increasing pressure to adopt AI while safeguarding sensitive data, complying with regulatory requirements and ensuring architectural trust from infrastructure to application. Learn about Protecting data, models, and prompts on HPE ProLiant Compute with Fortanix Confidential AI and NVIDIA Confidential Computing.
How to Run AI On Sensitive Data Without Exposing It
Frontier AI Models Like Anthropic Mythos Will Change How Software Must Be Secured
The Coming AI Factory Build‑Out & Why Now for Security
Improving Cryptographic Posture Through Entropy Diversification
Securing the Administrative Layer: What Stryker Cyberattack Has Taught Us
From Sensitive Data to Proprietary AI IP: Securing Your Crown Jewels Requires Confidential AI
Bringing Confidential Computing to AI Factories: How Fortanix, HPE, and NVIDIA Enable Trusted and Secure AI
Organizations Can Finally Stop Choosing Between AI and Data Privacy
Why physical locality is a risk to resilience and how confidential computing can help
