📈 Business

Verifiable Compute

Hardware solutions to ensure AI is explainable, auditable, and secure

#AI safety
#encryption technology
#Compliance check
#Hardware solutions
#Explainable AI
#Real-time governance
Verifiable Compute

Product Details

Verifiable Compute is an AI framework launched by EQTY Lab in partnership with Intel and NVIDIA to govern and audit AI workflows. It represents a significant advancement in hardware-based solutions that ensure AI is explainable, auditable, and secure at runtime, providing consumers and enterprises with new confidence to accelerate AI adoption and development. Verifiable Compute introduces a patent-pending hardware-based cryptographic AI notarization and certificate system to isolate sensitive AI operations and notarize every data object and code computed in AI training and inference with an immutable record. It also provides real-time compliance checking and enforcement of AI business policies and new sovereign AI regulations such as the EU AI Act. Verifiable Compute’s new trust layer is rooted directly in the silicon of next-generation hardware from NVIDIA and Intel, setting a new standard for AI security and innovation.

Main Features

1
Offers the first authenticity and compliance certificate to independently verify AI training, inference and benchmarking.
2
Enables real-time governance on a chip, an industry first that resulted from two years of intensive research involving consultants from Stanford and MIT.
3
Certified by delivering smarter, more secure AI systems and agents in transformative applications in life sciences, public sector, finance and media.
4
Introducing a patent-pending hardware-based cryptographic AI notarization and certificate system to isolate sensitive AI operations and notarize every data object and code computed in AI training and inference with an immutable record.
5
Provide real-time compliance checks and enforcement of AI business policies and new sovereign AI regulations such as the EU AI Act.
6
Setting a new standard for AI security and innovation by embedding a layer of trust in silicon.
7
Demonstrate how innovation can thwart attacks with provable authentication, security and assurance by providing a cryptographically secure record of every stage of the AI ​​lifecycle.
8
Allowing for provable records of compliance with regulatory frameworks, AI artifacts can be retained for years, even after the model has delivered results.

How to Use

1
1. Visit Verifiable Compute’s official website to learn more.
2
2. Choose the appropriate Verifiable Compute solution based on the specific needs of the enterprise.
3
3. Deploy the Verifiable Compute framework and notarization system into the enterprise's existing AI workflow.
4
4. Use the hardware-level encryption technology provided by Verifiable Compute to isolate and notarize AI operations.
5
5. Conduct real-time compliance checks and enforce AI business policies.
6
6. Integrate into the enterprise's existing governance and audit tools through the interface provided by Verifiable Compute.
7
7. Leverage AI audit and pedigree certificates generated by Verifiable Compute for independent auditing or instant browser verification.
8
8. Regularly update and maintain the Verifiable Compute system to ensure ongoing security and compliance.

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 sectors. These enterprises need a reliable solution to accelerate the adoption and development of AI while ensuring the governance and auditing of AI systems. Verifiable Compute helps these enterprises build trust in AI systems and ensure the security, privacy and accountability of their AI solutions by providing hardware-level security and audit capabilities.

Examples

In the field of life sciences, 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 be used to ensure that the decision-making process of government AI systems is transparent and auditable.

In the financial sector, Verifiable Compute can be used to ensure the compliance and security of transaction monitoring and risk assessment systems.

Quick Access

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Categories

📈 Business
› Development and Tools
› Safety

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