A strategic alliance combining confidential computing, data sovereignty controls, and NVIDIA-accelerated infrastructure to build secure, compliant AI factories for global enterprises
Fortanix and NTT DATA have announced a strategic partnership aimed at helping enterprises deploy secure, sovereign, and compliant AI factories using NVIDIA’s confidential computing technologies. The collaboration brings together Fortanix’s data-centric security platform and NTT DATA’s full-lifecycle managed services to address some of the most pressing challenges organizations face as they scale artificial intelligence initiatives in highly regulated environments.
As AI adoption accelerates across industries, organizations are increasingly building what are often called “AI factories”—large-scale environments designed to train, fine-tune, and run AI models using massive datasets and high-performance computing resources. These environments are essential for powering advanced analytics, generative AI, predictive modeling, and automation. However, the rapid expansion of AI infrastructure has also introduced new risks related to data privacy, model security, regulatory compliance, and governance.
The partnership between Fortanix and NTT DATA aims to address these challenges by enabling organizations to run AI workloads within hardware-protected environments using NVIDIA Confidential Computing technologies. The joint solution is designed to provide enterprises with the tools they need to protect sensitive data and AI models throughout their lifecycle while meeting strict regulatory and sovereignty requirements.
Addressing the security and compliance gap in AI adoption
Across India and other markets, enterprises are investing heavily in AI to drive efficiency, innovation, and competitive advantage. However, concerns around data security, lawful processing, and regulatory compliance have become major obstacles—particularly for industries handling sensitive personal, financial, or health data.
In India, the Digital Personal Data Protection Act, 2023 has introduced stricter rules governing how personal and sensitive information is collected, processed, stored, and shared. The legislation places significant responsibilities on organizations to ensure data protection, transparency, and accountability. Traditional AI infrastructure approaches—where data may be exposed during processing or accessible to system administrators—often fall short of these new requirements.
The Fortanix–NTT DATA collaboration directly addresses this issue by enabling AI workloads to run inside hardware-based secure enclaves. These environments use confidential computing technologies to protect data not only when it is stored or transmitted, but also while it is being processed. This capability is critical because the “data-in-use” stage has historically been one of the most vulnerable points in the computing lifecycle.
By combining NVIDIA’s confidential computing GPUs with Fortanix’s data security platform, the solution provides cryptographic assurances that sensitive data and AI models remain protected at all times. Even privileged system administrators or infrastructure operators cannot access or tamper with the information while it is being processed.
How the joint solution works
The joint offering is built on three primary components:
- Fortanix data security platform
Fortanix provides a unified platform designed to protect sensitive data, AI models, and applications across on-premises and multi-cloud environments. The platform uses hardware-enforced security mechanisms to isolate workloads inside secure enclaves, preventing unauthorized access, model extraction, or data leakage. - NVIDIA Confidential Computing
NVIDIA’s confidential computing GPUs allow organizations to run AI workloads inside encrypted, hardware-protected environments. These systems use attestation services to verify the integrity of the hardware and software stack before sensitive data or encryption keys are released. - NTT DATA full-lifecycle managed services
NTT DATA contributes end-to-end services that cover the entire AI deployment lifecycle. These services include compliance advisory, architecture design, integration of the Fortanix and NVIDIA solution, and ongoing governance, risk, and compliance management.
Together, these components create a secure AI factory environment where sensitive data can be processed without exposure, while still enabling high-performance AI training and inference.
Enabling trust at scale for AI factories
AI factories are becoming central to enterprise digital transformation strategies. They provide the computational backbone for training large language models, computer vision systems, recommendation engines, and predictive analytics platforms.
However, as AI systems become more powerful, they also become more valuable targets for cyberattacks, insider threats, and intellectual property theft. Organizations must protect not only the data used to train models but also the models themselves, which may contain proprietary algorithms and business logic.
The Fortanix–NTT DATA solution addresses these concerns by providing:
- Secure processing of personal and sensitive data
- Protection of proprietary AI models and intellectual property
- Policy-based access controls
- Attestation-based trust verification
- Auditability and compliance reporting
These capabilities are particularly important for sectors such as financial services, healthcare, telecommunications, manufacturing, and government—industries where regulatory requirements and data sensitivity are especially high.
Supporting compliance with India’s DPDP Act
A key focus of the partnership is helping organizations meet the requirements of India’s Digital Personal Data Protection Act. The DPDP Act mandates strict controls over personal data, including how it is collected, processed, stored, and transferred.
NTT DATA’s managed services include DPDP compliance advisory and architecture design, enabling organizations to build AI systems that align with regulatory expectations from the outset. The company also provides governance, risk, and compliance management services to help enterprises maintain ongoing compliance as their AI environments evolve.
By integrating confidential computing into AI factories, organizations can demonstrate that sensitive data is processed in secure, isolated environments with cryptographic proof of integrity. This level of assurance is expected to play a significant role in regulatory audits and compliance assessments.
Executive perspectives on the partnership
According to NTT DATA’s global cybersecurity leadership, AI factories represent a major opportunity for Indian enterprises, but trust and compliance must be foundational. The combination of NTT DATA’s infrastructure security and risk management expertise with Fortanix’s data-centric security and NVIDIA’s confidential computing technologies is intended to enable organizations to innovate with AI while meeting strict regulatory and sovereignty requirements.
Fortanix’s product leadership emphasized that large-scale AI adoption ultimately depends on trust. By ensuring that sensitive data and AI models remain protected during computation, the solution aims to help organizations unlock the full value of AI while maintaining verifiable security and compliance. With NTT DATA’s managed services, this capability becomes accessible to enterprises across India.
A foundation for confidential AI
Fortanix positions its platform as a foundation for what it calls “confidential AI”—a model where AI systems are built on attestation-based trust, secure key management, and zero-trust enforcement principles.
This approach ensures that AI systems remain:
- Verifiable: Hardware and software integrity can be cryptographically validated.
- Auditable: Security and compliance controls can be monitored and reported.
- Resilient: Systems can adapt to evolving threats, including future risks such as quantum computing.
Fortanix also emphasizes crypto-agility and post-quantum cryptography capabilities, enabling organizations to transition to new cryptographic standards as threats evolve.
The company’s platform is designed to work across both on-premises and multi-cloud environments and is supported by major technology providers, including Intel, Microsoft, and NVIDIA.
NTT DATA’s role in enterprise AI transformation
NTT DATA brings extensive global capabilities to the partnership. The company is a major business and technology services provider, serving a significant portion of the Fortune Global 100. Its offerings span enterprise-scale AI, cloud computing, cybersecurity, connectivity, data centers, and application services.
With operations in more than 70 countries and a large ecosystem of innovation centers and partners, NTT DATA helps organizations adopt digital technologies in a secure and sustainable way. The company is part of the larger NTT Group, which invests billions of dollars annually in research and development.
Through this partnership, NTT DATA aims to provide enterprises with a complete, end-to-end solution for building and operating secure AI factories—from initial strategy and compliance planning to deployment and ongoing governance.
Availability and target markets
The new service is now available to enterprises across India as part of NTT DATA’s full-stack technology and business services portfolio. It is specifically designed for organizations operating in highly regulated industries, where data sovereignty, privacy, and compliance are critical.
By combining confidential computing, data-centric security, and managed services, the Fortanix–NTT DATA partnership aims to remove key barriers to AI adoption. The companies believe that by embedding trust and compliance into the foundation of AI infrastructure, enterprises can accelerate innovation while maintaining control over sensitive data and intellectual property.
As AI becomes a core component of enterprise operations, solutions that provide verifiable security, regulatory compliance, and data sovereignty are expected to play an increasingly important role. The collaboration between Fortanix and NTT DATA represents a step toward building AI systems that are not only powerful, but also trustworthy, auditable, and secure by design.
