G42 today announced its intent to develop and implement an enhanced assurance framework designed to secure the export, deployment, and stewardship of advanced U.S.-origin artificial intelligence semiconductors operating within its infrastructure.
Building on the United Arab Emirates’ participation in the U.S.-led Pax Silica initiative, the framework is intended to establish a scalable model for trusted AI collaboration strengthening transparency, regulatory alignment, and infrastructure-level governance across the global AI supply chain.
Establishing a Common Operating Picture for Advanced Compute
As advanced AI systems scale across borders, ensuring the secure and authorized use of high-performance compute has become foundational to national and economic security. G42’s framework will establish a structured Common Operating Picture (COP) providing continuous, verifiable visibility into the location, control, and authorized use of advanced U.S.-origin AI semiconductors deployed within its environment.
The framework is designed to:
• Verify geolocation and physical control of regulated hardware
• Provide continuous transparency into deployment and authorized end-use
• Integrate governance safeguards aligned with U.S. export controls
• Enable structured engagement channels with relevant regulatory authorities
Over time, this approach is intended to modernize traditional compliance constructs by embedding verification and traceability directly into the infrastructure layer.
Operating Within the Regulated Technology Environment (RTE)
Advanced U.S.-origin semiconductors will operate within G42’s Regulated Technology Environment (RTE), a secure computing framework developed in close coordination with, and under the guidance of, the U.S. and UAE Governments.
The RTE is a “gold standard” that enables regulated U.S. technologies to be deployed in compliance with license obligations and U.S. export control requirements. The environment incorporates controls aligned with U.S. cybersecurity standards, including NIST SP 800-53 principles, and includes:
• Robust physical and logical access controls
• Personnel screening and strict authorization protocols
• Continuous monitoring and logging
• Segregation mechanisms to ensure controlled and compliant use
These safeguards are designed to provide a high standard of operational integrity, auditability, and regulatory confidence.
Cryptographic Tracking and Infrastructure-Level Governance
In parallel, G42 intends to deploy advanced cryptographic mechanisms to track compute utilization across regulated clusters. By enabling secure token-level tracking and verification, the framework is being designed to provide enhanced assurance regarding the integrity, origin, and authorized application of AI workloads operating within G42’s infrastructure.
This infrastructure-native governance model aims to hardwire compliance and transparency into the compute layer itself.
A Scalable Model for Pax Silica and Beyond
G42 intends for this assurance framework to serve not only its own infrastructure but as a replicable blueprint for trusted AI ecosystems across Pax Silica partner countries and potentially additional aligned partners committed to secure and responsible AI deployment.
By aligning industry capabilities in the UAE and the United States with structured transparency and compliance mechanisms, the model seeks to reinforce shared strategic interests while enabling innovation at scale.
Talal M. Al Kaissi, Group Chief Global Affairs Officer of G42 and Chief Executive Officer (Interim) of Core42, said: “Artificial intelligence infrastructure is becoming a strategic asset class. Trust, verification, and responsible stewardship must therefore be engineered directly into the compute layer. Through this assurance framework, we plan to embed compliance, cryptographic accountability, and continuous transparency into the architecture itself”.
Advancing Trusted AI Infrastructure
G42’s assured compute framework reflects its commitment to aligning the expansion of the Intelligence Grid with the highest standards of security, regulatory compliance, and strategic responsibility. By combining technical safeguards with structured regulatory engagement, the initiative contributes to a more resilient and trusted global AI ecosystem.
