Highlights
- EQTY Lab introduces Verifiable Compute for AI governance and compliance.
- The solution ensures real-time AI compliance checks with cryptographic certificates.
- Delivered to multiple industries, it enhances AI security and accountability.
The rising use of artificial intelligence has heightened the need for effective governance frameworks. Addressing concerns like data poisoning and privacy vulnerabilities, EQTY Lab has partnered with Intel and NVIDIA to introduce Verifiable Compute, a cutting-edge hardware-based solution that advances AI governance and compliance practices.
Innovative Cryptographic AI Notary Technology
Verifiable Compute is built on Intel's 5th Gen Xeon Processors with Trust Domain Extensions and NVIDIA's H100/H200 GPUs. This technology integrates a hardware-based cryptographic notary and certificate system, enabling businesses to authenticate AI training, inference, and benchmarking processes in real time. By ensuring authenticity through cryptographic verification, the solution tackles critical challenges in AI supply chains.
Application Across Multiple Sectors
This solution has been implemented by initial clients in sectors including life sciences, public services, finance, and media. These industries, often requiring high standards of data security and operational transparency, benefit from the technology's ability to prevent supply chain risks such as poisoning attacks and unauthorized data access.
Advancing AI Compliance and Regulations
The Verifiable Compute framework aligns with global AI regulations like the EU AI Act, providing real-time compliance checks. It supports businesses in adhering to strict policy requirements while addressing concerns related to accountability and transparency in AI deployments.
Growth of Confidential Computing
The confidential computing market is projected to experience significant growth, with a valuation expected to reach over $184 billion by 2032. Solutions like Verifiable Compute position EQTY Lab as a pioneer in leveraging this growing demand to address the pressing challenges of AI security, privacy, and compliance.