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Verifiable Compute
Overview :
Verifiable Compute is an AI framework launched in collaboration with EQTY Lab, Intel, and NVIDIA, designed for governance and auditing of AI workflows. It represents a significant advancement in providing hardware-based solutions that ensure AI is interpretable, auditable, and secure during operation, instilling renewed confidence in accelerating AI adoption and development for consumers and enterprises. Verifiable Compute introduces a patented hardware-based encryption AI notarization and certification system to isolate sensitive AI operations and notarize every data object and piece of code computed during AI training and inference with immutable records. It also offers real-time compliance checks and enforcement of AI business policies, as well as adherence to new sovereign AI regulations, such as the EU AI Act. The new trust layer of Verifiable Compute is directly embedded in the silicon of next-generation hardware from NVIDIA and Intel, establishing new standards for AI safety and innovation.
Target Users :
The target audience includes enterprises that need to ensure the security, compliance, and auditability of AI systems, particularly in the life sciences, public sector, finance, and media domains. These enterprises require a reliable solution to accelerate AI adoption and development while ensuring governance and auditing of AI systems. Verifiable Compute helps these businesses build trust in AI systems by providing hardware-level security and auditing capabilities, ensuring the safety, privacy, and accountability of their AI solutions.
Use Cases
In the life sciences sector, Verifiable Compute can be used to ensure the compliance and safety of AI systems in drug discovery and clinical trials.
In the public sector, Verifiable Compute can ensure that government AI systems' decision-making processes are transparent and auditable.
In finance, Verifiable Compute can be implemented to ensure the compliance and security of transaction monitoring and risk assessment systems.
Features
Providing the first authenticity and compliance certificates for independent verification of AI training, inference, and benchmarking.
Achieving real-time governance on chip, a groundbreaking industry first developed through two years of intensive research by advisors from Stanford and MIT.
Certifying smarter and safer AI systems and agents through transformative applications in life sciences, the public sector, finance, and media.
Introducing a patented hardware-based encryption AI notarization and certification system to isolate sensitive AI operations and notarize every data object and piece of code computed during AI training and inference with immutable records.
Offering real-time compliance checks and enforcement of AI business policies as well as new sovereign AI regulations, such as the EU AI Act.
Setting new standards for AI safety and innovation by embedding the trust layer within the silicon.
Demonstrating how innovation can prevent attacks through provable certification, security, and assurance by providing encrypted secure records at every stage of the AI lifecycle.
Allowing provable records compliant with regulatory frameworks, retaining AI artifacts for years even after the model has delivered results.
How to Use
1. Visit the official Verifiable Compute website for more information.
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2. Choose the appropriate Verifiable Compute solution based on the specific needs of your enterprise.
3. Deploy the Verifiable Compute framework and notarization system into your existing AI workflows.
4. Utilize the hardware-level encryption technology provided by Verifiable Compute to isolate and notarize AI operations.
5. Conduct real-time compliance checks and enforce AI business policies.
6. Integrate into existing governance and audit tools using the interfaces provided by Verifiable Compute.
7. Use the AI audit and lineage certificates generated by Verifiable Compute for independent audits or instant browser verification.
8. Regularly update and maintain the Verifiable Compute system to ensure ongoing security and compliance.
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