Technology

Inpher Debuts SecurAI: Revolutionizing Privacy with NVIDIA's Cutting-Edge GPUs

SAN FRANCISCO, May 7, 2024 /PRNewswire/ -- The RSA Conference 2024 sees the unveiling of Inpher's SecurAI, an innovative privacy and security solution for large language models. Inpher, a trailblazer in the realm of privacy-enhanced computation, has proudly announced the general availability release of this leading-edge solution, enriched with the robustness of the NVIDIA H100 Tensor Core GPU, resulting in unparalleled speed and performance.

Inpher's commitment to a privacy-first approach is clear with SecurAI's enterprise-ready framework designed to secure large language models (LLMs) while being powered by NVIDIA's confidential computing technology. This technology partnership signifies a strategic enhancement in the way LLMs are utilized within business infrastructure, aiming at a seamless and secure integration into various business processes.

"Enterprises are poised to fully leverage the transformative potential of generative AI, seamlessly incorporating it into existing and new business ventures," said Daniel Rohrer, Vice President of Product Security at NVIDIA. "By marrying Inpher's SecurAI with NVIDIA's confidential computing capabilities, organizations can be enabled to deploy confidential GPUs, thereby unlocking better data utility and promoting business efficiency."

The new iteration of SecurAI is not only empowered by confidential GPUs but also integrates the cutting-edge retrieval-augmented generation (RAG) technology. At its core, SecurAI ensures absolute confidentiality of user prompts, which are critical to not being exposed to the model providers. It allows for the seamless improvement of model outputs whilst integrating with essential business services and applications such as Slack, Zendesk, Salesforce, and Snowflake. Furthermore, SecurAI supports the enterprise user's capacity to upload their own files as per organizational requirements using secure RAG.

"Building a generative AI deployment strategy that is secure is paramount for every enterprise," remarks Dr. Jordan Brandt, the CEO and co-founder of Inpher. "Our undivided commitment to privacy and ethical AI utilization is the bedrock on which Inpher was founded. Collaborating closely with NVIDIA, we are proud to present the most robust and ready-to-deploy generative AI solution in the enterprise sector."

Inpher's SecurAI addresses the significant concerns around privacy and security that are ever-present when enterprises aim to tap into AI and open models, especially when user prompts might carry delicate data that should be kept secret from the model and/or cloud service provider. The solution operates within a Trusted Execution Environment (TEE), which is isolated from the underlying infrastructure, ensuring that all sensitive information, including proprietary business data, personal details, or other confidential elements, is protected against any external access, including that of SecurAI's own hosting infrastructure.

By maintaining sensitive user input details and data processing within a secure and isolated environment, SecurAI drastically diminishes the potential for data breaches, leaks, or unauthorized viewing. It stands out as an exceptionally secure option for enterprises intent on preserving the privacy of their intellectual property (IP) and data. With the deployment of SecurAI, users are now empowered to incorporate large language models within their organization, without the looming threat of compromising on the aspect of privacy.

For those eager to initiate the adoption of AI for enhancing productivity and maximizing data utility, detailed information on Inpher's SecurAI solution is just at your fingertips. This privacy-preserving solution for the use of LLMs, inclusive of RAG systems, can initiate a new chapter for your enterprise. To embark on this transformative journey, interested parties are encouraged to click here.

About Inpher, Inc.

Inpher, Inc. is a leader in secure computation technologies, providing a platform that allows organizations to confidently engage with AI technology. Inpher's privacy-preserving machine learning techniques enable organizations to unlock the value of their sensitive data across teams, regions, and borders without the necessity of moving it around. This particularly benefits organizations looking to leverage recent generative AI advancements like ChatGPT, as Inpher’s SecurAI ensures user privacy and regulatory compliance.

Inpher was founded by globally acknowledged cryptographers and engineers, and has been at the forefront of advancing secure Multiparty Computation (MPC), Fully Homomorphic Encryption (FHE), Federated Learning (FL), and other facets of privacy-enhancing technologies (PETs). The company is dedicated to providing enterprise-ready solutions and showcasing practical implementations of their technologies.

For more comprehensive insights into Inpher and to learn more about their offerings, please consider visiting their website at www.inpher.io. You can also follow their updates and announcements on platforms such as LinkedIn and Twitter, keeping abreast of the latest in privacy-enhancing computation technology.

SOURCE: Inpher

In summary, Inpher’s release of SecurAI at RSA Conference 2024 constitutes a significant stride toward enhancing the safety and privacy of large language models. In a digital age where data breaches are common, Inpher and NVIDIA’s partnership paves the way for businesses to integrate AI seamlessly and confidently, leading to potentially heightened productivity and improved business outcomes. As artificial intelligence continues to evolve and permeate every facet of business, solutions like SecurAI prove indispensable in addressing the intricate balance between leveraging AI and preserving privacy.

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