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Fortanix Inc., a data security company, has partnered with NVIDIA to introduce a new AI security platform designed for highly regulated industries. This joint solution enables organizations to deploy AI with enhanced security measures within their own data centers or sovereign environments. The platform leverages NVIDIA’s confidential computing GPUs to ensure end-to-end trust in AI operations, from the chip to the model to the data.
The collaboration between Fortanix and NVIDIA addresses the pressing needs of sectors like healthcare, finance, and government, which are keen on adopting AI technologies but face stringent privacy and regulatory constraints. By utilizing Fortanix’s platform powered by NVIDIA Confidential Computing, enterprises can develop and operate AI systems on sensitive data without compromising security or control.
At the core of this partnership lies a confidential AI pipeline that safeguards data, models, and workflows throughout their lifecycle. This system integrates Fortanix Data Security Manager and Confidential Computing Manager directly into NVIDIA’s GPU architecture to ensure secure operations.
The collaboration not only enhances data encryption and key management but also ensures the security of entire AI workloads. Enterprises can seamlessly transition existing AI models to NVIDIA’s GPU architectures, such as Hopper and Blackwell, with minimal reconfiguration, enabling a swift path to production-ready AI.
Compliance remains a central focus of the new platform’s design. Fortanix’s solution enforces role-based access control, detailed audit logging, and secure key custody—essential elements for demonstrating compliance with stringent data protection regulations, particularly in industries like banking, healthcare, and government contracting.
With features designed for on-premises, cloud, and sovereign use cases, Fortanix and NVIDIA’s platform offers real-world flexibility to organizations, allowing them to maintain consistent key management and encryption controls across different regions. This adaptability enables enterprises to shift AI workloads between data centers or cloud regions seamlessly, ensuring data security and regulatory compliance.
Source: VentureBeat