INPHER, a leading provider of privacy-enhanced computation solutions, has announced the release of their highly anticipated SecurAI platform. This enterprise-ready solution offers advanced privacy and security features for large language models (LLMs) by leveraging NVIDIA’s confidential computing technology.
With the integration of NVIDIA’s confidential GPUs, SecurAI ensures that user inputs and prompts are never exposed to the model provider. This enables organizations to enhance the output of their LLMs while maintaining the privacy and security of sensitive data. SecurAI seamlessly integrates with existing business services and applications, such as Slack, Zendesk, Salesforce, and Snowflake, allowing users to optimize model outputs for their specific needs.
Dr. Jordan Brandt, CEO and co-founder of INPHER, emphasized the importance of security in generative AI deployment strategies. He stated, “Our commitment to privacy and responsible AI use is foundational to our team, and by working closely with NVIDIA, we deliver the most robust, enterprise-ready generative AI solution.” SecurAI addresses privacy and security concerns by processing user inputs within a Trusted Execution Environment, isolating them from the underlying infrastructure. This ensures that sensitive information remains inaccessible to external entities, reducing the risk of data breaches or unauthorized access.
In addition to protecting user data, SecurAI also offers a secure solution for safeguarding intellectual property (IP). By keeping the intricacies of data processing within a protected space, SecurAI allows organizations to incorporate LLMs into their workflows without compromising privacy.
To learn more about INPHER’s SecurAI platform and how it enables the privacy-preserving use of LLMs, including retrieval-augmented generation (RAG) systems, visit their website.
About INPHER:
INPHER is a leader in privacy-enhanced computation, offering solutions that empower organizations to securely leverage the potential of AI. By making privacy-preserving machine learning accessible and easy, INPHER enables the value of sensitive data to be unlocked without compromising privacy. With a team of renowned cryptographers and engineers, INPHER has pioneered various privacy-enhancing technologies, including secure multiparty computation (MPC), fully homomorphic encryption (FHE), and federated learning (FL). For more information, visit their website and follow them on LinkedIn and Twitter.
INPHER’s release of the SecurAI platform revolutionizes AI privacy by offering advanced privacy and security features for large language models (LLMs) through the integration of NVIDIA’s confidential computing technology. By leveraging NVIDIA’s confidential GPUs, SecurAI ensures that user inputs and prompts are never exposed to the model provider, enhancing the privacy and security of sensitive data.
One key advantage of SecurAI is its seamless integration with existing business services and applications such as Slack, Zendesk, Salesforce, and Snowflake. This allows users to optimize model outputs for their specific needs, extending the capabilities of LLMs while maintaining data privacy.
Dr. Jordan Brandt, CEO and co-founder of INPHER, emphasizes the commitment to privacy and responsible AI use. SecurAI processes user inputs within a Trusted Execution Environment, keeping them isolated from the underlying infrastructure. This approach reduces the risk of data breaches or unauthorized access, addressing privacy and security concerns.
SecurAI not only protects user data but also provides a secure solution for safeguarding intellectual property (IP). By keeping the intricacies of data processing within a protected space, organizations can incorporate LLMs into workflows without compromising privacy.
In terms of current market trends, the demand for privacy-enhanced computation solutions is growing as organizations are increasingly concerned about data privacy and security. The integration of advanced privacy features with AI technologies is becoming crucial for businesses across various industries.
Forecasts indicate that the market for privacy-enhanced computation solutions, including secure AI platforms like SecurAI, will continue to expand in the coming years. As more organizations recognize the importance of protecting sensitive data and complying with privacy regulations, the demand for such solutions will remain high.
Despite the advantages, key challenges and controversies associated with AI privacy and security still exist. Concerns about the potential misuse of AI technologies and the need for robust security measures to prevent unauthorized access or breaches are ongoing challenges that organizations and solution providers like INPHER must address.
For more information about INPHER’s SecurAI platform and its capabilities in enabling the privacy-preserving use of LLMs, including retrieval-augmented generation systems, you can visit their website link.
To stay updated with INPHER’s latest developments, you can follow them on their LinkedIn link and Twitter link accounts.