Fortanix and NTT DATA Partner to Solve Challenges Around Data Sovereignty and Security for AI Factories With NVIDIA

Why It Matters

By delivering verifiable, end‑to‑end security, the partnership removes a key barrier to AI adoption in highly regulated Indian markets, accelerating innovation while ensuring compliance.

Key Takeaways

• Fortanix, NTT DATA, NVIDIA enable secure AI factories in India.
• Solution protects data at rest, in transit, and in use.
• Ensures DPDP Act compliance for regulated Indian enterprises.
• NVIDIA Confidential Computing provides hardware‑based enclave isolation.
• NTT DATA offers full‑lifecycle managed services and advisory.

Pulse Analysis

India’s AI ecosystem is expanding rapidly, but enterprises face mounting pressure to safeguard sensitive information under the DPDP Act, which imposes strict data‑processing and residency rules. Traditional cloud‑only models struggle to provide the required guarantees, especially for large‑scale AI training and inference workloads that handle personal and proprietary data. The new Fortanix‑NTT DATA service addresses this gap by embedding confidentiality directly into the compute layer, allowing organizations to build AI Factories that respect data‑sovereignty while maintaining performance.

Confidential Computing, powered by NVIDIA’s secure GPU architecture, creates tamper‑proof enclaves where data remains encrypted even while being processed. Fortanix’s platform adds attestation, policy‑based controls, and zero‑trust key management, delivering cryptographic proof that neither cloud operators nor privileged insiders can access the data or models. This hardware‑enforced isolation mitigates risks such as model extraction, insider threats, and regulatory breaches, providing a robust foundation for AI initiatives that require both high compute power and stringent security.

For service providers like NTT DATA, the partnership expands its managed‑services portfolio, offering end‑to‑end compliance advisory, architecture design, and AI governance. Financial services, healthcare, telecom and manufacturing firms can now accelerate AI adoption without fearing legal penalties or loss of intellectual property. As more Indian enterprises prioritize trust and compliance, the solution is poised to become a benchmark for secure AI deployment, influencing global standards for confidential AI workloads.