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.
Why Inpher?
With Inpher SecurAI, organizations can harness the power of Large Language Models (LLMs) while ensuring privacy, compliance and trust. SecurAI’s solution leverages Trusted Execution Environments (TEEs) to address the privacy and security concerns that users contend with when trying to leverage open models where information might be susceptible to leakage and scrutiny by the hosting party. The XOR Platform delivers enterprise-ready data science capabilities to develop, test, integrate and deploy cryptographically secure workflows. With the XOR Platform, you can perform secure evaluation of functions across multiple private data sources, cryptographically guaranteeing that no information is shared between the data sources and that the analyst conducting the computation only sees the output of the function without revealing the private inputs.
Resources
- Download Better Together Next Generation ESG Reporting Capabilities with Inpher’s XOR Platform & Oracle Cloud EPM
- Download Build Better Models with Sensitive Data
- Download Inpher SecurAI White Paper
- Download New Approaches to Tackling Financial Crimes - Secure Data Collaboration With XOR
- Download SecurAI Data Sheet
- Download WP Balancing Privacy - Leveraging Privacy Budgets for Privacy-Enhancing Technologies
132 West 31st Street
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New York , NY
USA