Bengaluru: Fortanix, a global leader in data security for an AI-driven world, and NTT DATA, a global provider of AI digital business and technology services, have announced a strategic partnership to strengthen AI factories security for enterprises using NVIDIA Confidential Computing.
The collaboration introduces a managed service designed to help enterprises build secure, sovereign, and compliant AI Factories.
The AI factories security solution integrates Fortanix’s data security platform with NVIDIA Confidential Computing and NTT DATA’s full lifecycle managed services to support secure AI innovation while maintaining regulatory compliance.
Built on Fortanix technology and NTT DATA’s managed services capabilities, the offering enables organizations to protect advanced AI workloads and AI Factories while ensuring verifiable trust and data sovereignty compliance through NVIDIA Confidential Computing and attestation services.
This approach strengthens AI Factories Security across the AI lifecycle.
Also Read: FiMI: NPCI Unveils Finance-Focused AI Language Model for UPI and Digital Payments
As Indian enterprises accelerate the adoption of AI Factories for large-scale AI training and inference, concerns around model protection, data privacy, lawful processing, and regulatory compliance have emerged as significant barriers.
The Digital Personal Data Protection (DPDP) Act, 2023 – India’s primary data protection law – places strict obligations on how personal and sensitive data is collected, processed, and protected, making AI Factories Security a critical requirement for regulated environments.
Fortanix and NTT DATA aim to address these challenges by enabling AI workloads to process sensitive and regulated data within hardware-based secure environments.
AI Factories Security: Data and AI Models Remain Protected
Using NVIDIA Confidential Computing GPUs alongside Fortanix’s data security platform, the solution ensures that data and AI models remain protected at rest, in transit, and during computation.
This architecture provides cryptographic assurance that data cannot be accessed or altered even by privileged system operators, strengthening AI Factories Security for enterprise deployments.
NTT DATA’s lifecycle managed services include DPDP compliance advisory, architecture design, end-to-end integration of the Fortanix and NVIDIA solution, as well as AI governance, risk, and compliance management services – all aligned with enterprise-grade AI Factories Security requirements.
“AI Factories represent a major opportunity for Indian enterprises, but trust and compliance must be foundational,” said Sheetal Mehta, Global Head of Cybersecurity Solutions and Services, NTT DATA, Inc.
“By combining NTT DATA’s AI and infrastructure security and risk management expertise with Fortanix and NVIDIA confidential computing, we are enabling organizations to innovate with AI while meeting the stringent requirements of the DPDP Act and India’s data sovereignty expectations.”
Also Read: Women-Led AI Startups Honoured at India AI Impact Summit 2026
The service is intended for enterprises operating in highly regulated sectors such as financial services, healthcare, telecom, manufacturing, and the public sector, where AI Factories Security and compliance requirements are particularly critical.
Capabilities include secure processing of sensitive data, protection of proprietary AI models and intellectual property, and policy-based controls that support compliance and auditability.
“At scale, AI adoption depends on trust,” said Anuj Jaiswal, Chief Product Officer, Fortanix.
“Our solution, powered by NVIDIA, ensures that sensitive data and AI models remain protected during computation, enabling organizations to unlock the full value of AI while maintaining verifiable security and compliance. NTT DATA’s service brings this capability directly to enterprises in India.”
The new managed service is now available to enterprises across India as part of NTT DATA’s end-to-end business and technology services portfolio, further strengthening AI Factories Security for organizations deploying AI infrastructure.






