Fortanix and NVIDIA Partner to Secure AI in Regulated Industries

In a move poised to reshape how organizations approach AI security, Fortanix Inc. has teamed up with NVIDIA to unveil a new joint solution. This platform is designed to allow companies in highly regulated sectors—think healthcare, finance, and government—to deploy agentic AI within their own data centers or sovereign environments. The solution leverages NVIDIA’s “confidential computing” GPUs, promising a new standard for data protection and compliance.

A Solution for Sensitive Data

The core of this collaboration addresses a critical need: the ability to harness the power of AI without compromising sensitive data. As Anand Kashyap, CEO and co-founder of Fortanix, explained, “Our goal is to make AI trustworthy by securing every layer—from the chip to the model to the data.” The new platform, powered by NVIDIA Confidential Computing, provides that end-to-end trust. This is particularly crucial for industries grappling with stringent privacy regulations.

How It Works: A Deep Dive

The Fortanix–NVIDIA solution centers on a confidential AI pipeline, ensuring the protection of data, models, and workflows throughout their lifecycle. This is achieved through the integration of Fortanix Data Security Manager (DSM) and Fortanix Confidential Computing Manager (CCM) directly into NVIDIA’s GPU architecture.

DSM acts as a hardware security module, managing encryption keys and enforcing strict access controls. CCM verifies the trustworthiness of AI workloads and infrastructure using composite attestation. This process validates both CPUs and GPUs before granting access to sensitive data. Only when a workload is verified does DSM release the cryptographic keys needed to decrypt and process the data. Kashyap notes that this “attestation-gated” model creates a provable chain of trust, extending from the hardware chip to the application layer.

Key Benefits and Features

The platform offers a range of benefits, including:

Enhanced Security: Protects data, models, and workflows throughout their lifecycle.
Compliance: Assists in meeting stringent data protection regulations.
Flexibility: Supports on-premises, air-gapped, and cloud deployments.
Scalability: Allows for incremental scaling as AI projects grow.

The platform is designed for both confidentiality and sovereignty. For governments and enterprises needing local control over their AI environments, the system supports fully on-premises or air-gapped deployment options. Furthermore, the system supports post-quantum cryptography (PQC) within its DSM product, ensuring readiness for future security challenges.

Deployment and Future Outlook

Enterprises can deploy the Fortanix–NVIDIA solution incrementally, using a lift-and-shift model to migrate existing AI workloads into a confidential environment. Fortanix offers both SaaS and self-managed options. For organizations building new AI infrastructure, Fortanix’s Armet AI platform provides orchestration, observability, and built-in guardrails to speed up time to production. The solution can run in major cloud environments that already support confidential computing, allowing organizations to shift AI workloads between data centers or cloud regions without losing control over their sensitive information.

Fortanix will showcase the joint platform at NVIDIA GTC, held October 27–29, 2025, at the Walter E. Washington Convention Center in Washington, D.C. Visitors can find Fortanix at booth I-7 for live demonstrations and discussions.

This partnership between Fortanix and NVIDIA represents a significant step forward in securing AI deployments, particularly for industries where data protection and compliance are paramount. As Anuj Jaiswal, chief product officer at Fortanix, stated, “We’re giving enterprises a sovereign, on-prem platform for AI agents—one that proves what’s running, protects what matters, and gets them to production faster.”

Source: VentureBeat

AIcomplianceconfidential computingdata protectionencryptionfinanceFortanixhealthcareNvidiasecurity