Securing Enterprise AI from Training to Inference
Overview
Enterprises are racing to move AI from experiment to production, but the path from pilot to scale is anything but smooth. Preventing data exposure during training and inference, alongside compliance with global regulations that continue to raise the bar on auditability, data residency, and sovereignty. To navigate these requirements and optimize inference latency, enterprises are looking to deploy best-in-class AI models on their own turf. With frontier models now high-value IP targets, AI labs are reluctant to allow on-prem deployments as traditional security doesn't help-- it protects data at rest and in transit, but not in production, or in use, exactly where AI workloads are loaded unprotected in GPU and CPU memory. While the AI opportunity is real, the challenges are many, and enterprises are facing delayed deployments and constrained innovation.
Enable Secure AI Innovation with Fortanix Confidential AI on Dell AI Factory
Fortanix Confidential AI, deployed on the Dell AI Factory, delivers end-to-end protection for sensitive data, proprietary models, and inference across the full AI lifecycle. Running on Dell PowerEdge AI-optimized servers with NVIDIA Confidential Computing GPUs, the solution leverages the Trusted Execution Environments (TEEs) to keep the AI workload, from data to AI IP, encrypted even while being processed, keeping them isolated from the underlying infrastructure and inaccessible even to privileged administrators. From on-premises to sovereign and multi-tenant deployments, Fortanix Confidential AI on Dell AI Factory enable confidential inference at scale, thus giving enterprises a path to secure AI innovation without compromising security, compliance, or performance.
Benefits
Secure Enterprise AI Adoption
Maintain full control over data and run compliant AI workloads with confidenceon own infrastructure. Deploy frontier AI on prem to unlock innovation and real time performance.
Trusted and Sovereign Multi-Tenant AI
Transform multi-tenancy into a trusted, verifiable architecture with hardware-backed isolation. Deliver sovereign AI-as-a-service with cryptographic proof of where and how AI runs.
Compliance at Scale
Expand AI across teams, partners, and geographies with provable trust, policy enforcement, and audit-ready compliance built in.
Key Capabilities
Hardware-Level Isolation
AI models and sensitive data are isolated in Confidential Computing environments
Composite Attestation
Every workload hardware and software is attested with verifiable and auditable proof of security
Secure Key Release
Keys are released only after attestation verifies the integrity of the workload, ensuring data and models are unlocked in trusted environments only.
Zero Trust for Admins
Even privileged administrators cannot access workload data, the enclave enforces isolation at the silicon level.
Supported Hardware
- GPU: NVIDIA Hopper, Blackwell
- CPU: Intel TDX, AMD SEV-SNP
Deployments
On-premises, Sovereign AI Factory
