OPAQUE Platform Speeds Confidential AI Workflows 4-5x Faster Now

OPAQUE has acquired advanced cryptographic AI technologies developed by the Technology Innovation Institute in Abu Dhabi, extending confidential AI capabilities across the full lifecycle with post-quantum protection. The acquisition enables enterprises to move from isolated AI experiments to production deployment four to five times faster, according to the company, and delivers hardware-attested cryptographic evidence for training, fine-tuning, inference, and AI agents. Overseen by H.E. Faisal Al Bannai, Adviser to UAE President His Highness Sheikh Mohamed bin Zayed Al Nahyan and Secretary General of ATRC, the deal marks the first time UAE-developed cryptographic AI has been acquired and deployed at scale by a US-based technology company. “This acquisition reflects what the UAE has set out to do — produce foundational technology that the world adopts,” said H.E. Al Bannai, signaling a new direction in international tech transfer and collaboration.

UAE’s TII Advances Cryptographic AI, Acquired by OPAQUE

The acquisition of advanced cryptographic AI technologies by OPAQUE from the Technology Innovation Institute (TII) signals a significant shift in confidential AI and international technology transfer. This deal represents the first time cryptographic AI technologies developed in the UAE have been acquired and deployed at scale by a US-based technology company, establishing a new direction in global tech collaboration. OPAQUE, founded by researchers from UC Berkeley’s RISELab, now boasts a platform capable of accelerating Confidential AI workflows by a factor of four to five, moving organizations from isolated experiments to full production deployment. The strategic importance of this acquisition was underscored by the oversight of H.E. Faisal Al Bannai. The acquired technology enhances OPAQUE’s platform with confidential AI model training, utilizing techniques like multi-party computation and fully homomorphic encryption, alongside post-quantum cryptographic protections designed to withstand future computing threats.

This combination addresses a critical need for secure AI deployment, particularly when handling sensitive data. The implications extend beyond speed and security; OPAQUE’s platform now offers verifiable guarantees throughout the entire AI lifecycle, training, fine-tuning, inference, and agent execution, backed by hardware-attested evidence. Ion Stoica, Co-Founder of OPAQUE, explained that “the future of AI depends on unlocking the data organizations have never been able to touch,” highlighting the potential to leverage previously inaccessible datasets. This capability is particularly relevant for organizations like ServiceNow, already utilizing OPAQUE in production, and a national healthcare system capable of training diagnostic models across jurisdictions while maintaining data privacy. Dr. Najwa Aaraj, Chief Executive Officer of TII, affirmed that “We developed these cryptographic technologies to address a fundamental challenge in AI: how to enable powerful models to work with highly sensitive data without compromising confidentiality or trust,” and that OPAQUE was the ideal partner to scale this technology globally.

OPAQUE Platform Enables Full-Lifecycle Confidential AI Workflows

The current landscape of artificial intelligence deployment is characterized by a tension: organizations possess vast troves of sensitive data crucial for training effective AI models, yet fear exposing that data during the learning and operational phases. Existing solutions often involve fragmented approaches, requiring enterprises to stitch together disparate tools for training, inference, and agent workflows, creating security gaps and compliance challenges. This patchwork approach hinders the transition from isolated AI experiments to robust, production-ready deployments. Aaron Fulkerson, Chief Executive Officer of OPAQUE, stated, “Most enterprises sit on a corpus of data too sensitive to use and too valuable to ignore.” The platform’s architecture is designed to ensure cryptographic enforcement is rooted in hardware, not in vendor trust, allowing deployment on sovereign cloud infrastructure while maintaining data control. The strategic importance of this move extends beyond technological advancement; the acquisition marks the first time cryptographic AI technologies developed in the UAE have been acquired and deployed at scale by a US-based company.

H.E. Al Bannai said, “AI agents are extraordinarily powerful; the only way to safely deploy them is with hardware-enforced, verifiable rules.”

Multi-Party Computation & Post-Quantum Encryption Enhance Security

This speed increase is crucial as organizations grapple with moving beyond isolated AI experiments to production-level applications. These are not merely theoretical advancements; the acquired technology “is already proven in real-world use cases,” according to the company, addressing a critical need for verifiable security in increasingly sensitive AI deployments. The need for such robust security stems from the inherent risks associated with powerful AI agents. However, this speed also presents a vulnerability, necessitating “hardware-enforced, verifiable rules: provable evidence of what ran, where it ran, and which rules were enforced.” OPAQUE’s platform addresses this by rooting cryptographic enforcement in hardware, not in vendor trust.

Hardware-Attested Evidence Meets Regulatory Compliance Standards

The increasing demand for responsible AI deployment is now being met with a platform capable of generating hardware-attested evidence for regulatory bodies, a critical step toward wider enterprise adoption. This is not simply about adding another layer of security; it’s about providing verifiable proof of compliance with increasingly stringent data privacy regulations like SOC 2, ISO 27001, GDPR Article 32, and the EU AI Act. Critically, OPAQUE’s architecture means cryptographic enforcement is rooted in hardware, not in vendor trust. The company states, “Customer data—including data processed by sovereign AI programs and regulated enterprises—remains protected by Trusted Execution Environments and verifiable attestation that even OPAQUE itself cannot access,” highlighting a commitment to data sovereignty. This architecture allows for deployment on sovereign cloud infrastructure globally, enabling national AI programs to confidently adopt confidential AI without relinquishing control over data jurisdiction. A national healthcare system, for example, could now train diagnostic models across multiple regions, run inference across facilities, and deploy AI agents on live clinical data, all within a single, demonstrably secure platform.