INPHER's Enterprise-Ready SecurAI Performantly Protects LLMs With NVIDIA Confidential Computing
INPHER's Enterprise-Ready SecurAI Performantly Protects LLMs With NVIDIA Confidential Computing
RAG-Enabled Large Language Model Inference Solution Utilizes NVIDIA H100 Tensor Core GPUs
支持 RAG 的大型語言模型推理解決方案採用 NVIDIA H100 Tensor Core GPU
SAN FRANCISCO, May 7, 2024 /PRNewswire/ -- RSA Conference 2024 - Inpher, pioneers in privacy-enhanced computation, today announced the general availability release of SecurAI, a leading solution that protects the privacy and security of user inputs on large language models. This enterprise-ready release of SecurAI leverages the NVIDIA H100 Tensor Core GPU for maximum speed and performance.
舊金山，2024 年 5 月 7 日 /PRNewswire/-- 2024 年 RSA 會議- Inpher， 隱私增強計算領域的先驅今天宣佈了SecurAI的正式發佈版本，這是一種保護大型語言模型上用戶輸入的隱私和安全的領先解決方案。這款 SecurAI 企業級版本利用 NVIDIA H100 Tensor Core GPU 來實現最高的速度和性能。
INPHER's Enterprise-Ready SecurAI Performantly Protects LLMs with NVIDIA Confidential Computing
INPHER 的企業就緒型 SecurAI 利用 NVIDIA 機密計算性能保護 LLM
"Enterprises need to harness the power of generative AI while seamlessly and securely incorporating it into their business processes," stated Daniel Rohrer, vice president of Product Security at NVIDIA. "Inpher's SecurAI coupled with NVIDIA confidential computing technology enables organizations to use confidential GPUs for improved data utility and business productivity."
NVIDIA產品安全副總裁丹尼爾·羅勒表示：“企業需要利用生成式人工智能的力量，同時將其無縫安全地整合到業務流程中。”“Inpher的SecurAI與NVIDIA的機密計算技術相結合，使組織能夠使用機密GPU來提高數據實用性和業務生產力。”
Powered by confidential GPUs, this much anticipated release of SecurAI also integrates retrieval-augmented generation (RAG). SecurAI ensures that user prompts are never exposed to the model provider while enabling organizations to improve model outputs by seamlessly integrating with core business services, data sources and applications such as Slack, Zendesk, Salesforce, Snowflake, et al. SecurAI also enables enterprise users to upload their own files based on their organizational needs by leveraging secure RAG.
這款備受期待的 SecurAI 版本由機密 GPU 提供支持，還集成了檢索增強生成 (RAG)。SecurAI確保用戶提示永遠不會暴露給模型提供者，同時通過與核心業務服務、數據源和應用程序（例如Slack、Zendesk、Salesforce、Snowflake等）進行無縫集成，使組織能夠改善模型輸出。SecurAI 還允許企業用戶利用安全 RAG 根據其組織需求上傳自己的文件。
"Security is a critical element for every enterprise to consider when building a generative AI deployment strategy," stated Dr. Jordan Brandt, chief executive officer and cofounder at Inpher. "Our commitment to privacy and the responsible use of AI is foundational to our team and by working closely with NVIDIA we deliver the most robust, enterprise-ready generative AI solution."
Inpher首席執行官兼聯合創始人喬丹·布蘭特博士表示：“安全是每個企業在制定生成式人工智能部署策略時要考慮的關鍵因素。”“我們對隱私和負責任地使用人工智能的承諾是我們團隊的基礎，通過與NVIDIA密切合作，我們提供了最強大、企業就緒的生成式人工智能解決方案。”
Inpher SecurAI addresses the privacy and security concerns that users have when trying to leverage AI and open models where prompts might contain sensitive data that needs to be protected from the model and/or cloud service provider. The intricate details of the prompts received and the subsequent data processing occur within a Trusted Execution Environment that is isolated from the underlying infrastructure. This isolation shields sensitive information, ensuring that the specifics of user inputs, such as, proprietary business data, personal details, or other confidential information, remain inaccessible to external entities, including SecurAI's own hosting infrastructure.
Inpher SecurAI解決了用戶在嘗試利用人工智能和開放模型時遇到的隱私和安全問題，在這些模型中，提示可能包含需要保護免受模型和/或雲服務提供商侵害的敏感數據。收到的提示和後續數據處理的複雜細節發生在與底層基礎設施隔離的可信執行環境中。這種隔離可以屏蔽敏感信息，確保外部實體（包括SecurAI自己的託管基礎架構）無法訪問用戶輸入的細節，例如專有業務數據、個人詳細信息或其他機密信息。
By keeping the intricate details of user inputs and data processing within a protected space, SecurAI significantly reduces the risk of data breaches, leaks, or unauthorized access, making it a strong choice for safeguarding IP and privacy. SecurAI's distinct focus on data protection and privacy offers a secure choice for organizations emphasizing the privacy of their data and intellectual property. With SecurAI, users can incorporate large language models into their organization without compromising privacy.
通過將用戶輸入和數據處理的複雜細節保存在受保護的空間內，SecurAI 顯著降低了數據泄露、泄露或未經授權訪問的風險，使其成爲保護知識產權和隱私的絕佳選擇。SecurAI 對數據保護和隱私的獨特關注爲強調其數據和知識產權隱私的組織提供了安全的選擇。藉助 SecurAI，用戶可以在不影響隱私的情況下將大型語言模型整合到他們的組織中。
To begin harnessing the power of AI for increased productivity and data utility and for more information on Inpher's SecurAI solution for the privacy-preserving use of LLMs, including RAG systems, click here.
要開始利用人工智能的力量來提高生產力和數據實用性，並了解有關Inpher用於保護LLM（包括RAG系統）隱私的Inpher的SecurAI解決方案的更多信息， 點擊這裏。
About Inpher
關於 Inpher
Inpher, Inc. is the leader in privacy-enhancing computation that empowers organizations to harness the potential of AI securely and with trust. Inpher makes privacy-preserving machine learning easy, enabling organizations to unlock the value of sensitive data across teams, organizations, and geographies without moving it. For organizations seeking to leverage new generative AI technologies such as ChatGPT, Inpher SecurAI ensures privacy and compliance. Founded by world-renowned cryptographers and engineers, Inpher has long been recognized as a pioneer in the fields of secure Multiparty Computation (MPC), Fully Homomorphic Encryption (FHE), Federated Learning (FL), and other combinations of privacy-enhancing technologies (PETs). Inpher continues to deliver enterprise ready capabilities and real world examples.
Inpher, Inc. 是隱私增強計算領域的領導者，它使組織能夠安全、信任地利用人工智能的潛力。Inpher 使保護隱私的機器學習變得容易，使組織無需移動即可在團隊、組織和地域中釋放敏感數據的價值。對於尋求利用 ChatGPT 等新一代人工智能技術的組織，Inpher SecurAI 可確保隱私和合規性。Inpher 由世界知名的密碼學家和工程師創立，長期以來一直被公認爲安全多方計算 (MPC)、全同態加密 (FH)、聯邦學習 (FL) 和其他隱私增強技術 (PET) 組合領域的先驅。Inpher 繼續提供企業就緒功能和現實世界示例。
For more information on Inpher, please visit us at and follow us on LinkedIn and Twitter.
有關 Inpher 的更多信息，請訪問我們的網站 然後關注我們 領英 和 推特。
SOURCE Inpher
來源 Inpher
譯文內容由第三人軟體翻譯。