Empowering Government with Privacy-Focused AI through Oracle and Duality Technologies

Oracle and Duality Technologies: A New Era of Secure Data Collaboration



In an age where data privacy and security are paramount, Duality Technologies and Oracle have joined forces to provide an innovative solution for government and defense entities. The recently launched secure data collaboration platform is now available on the Oracle Cloud Marketplace, allowing customers to harness the power of Artificial Intelligence while ensuring the utmost confidentiality.

Understanding the Partnership



The integration of Duality's sophisticated technology with Oracle's renowned Cloud Infrastructure (OCI) marks a significant step for organizations dealing with sensitive information. This partnership addresses the growing demand for secure data management and analytics, especially in sectors where confidentiality is critical, such as government, defense, and intelligence.

With OCI's robust security measures and specialized environments, agencies can confidently manage their most sensitive data, ensuring seamless collaboration across varying security levels. The built-in governance structure is designed to meet stringent regulatory requirements while providing the necessary control over data access and usage.

Innovative Features for Secure Data Handling



1. Encrypted Queries Across Networks


One of the most groundbreaking features of the Duality platform is its capability to process encrypted queries securely across different networks. This means that sensitive information can be accessed and analyzed without compromising its integrity. Such a feature is particularly vital for government organizations that require the highest levels of data protection.

2. Quantum-Safe Solutions


As quantum computing technology develops, it poses new risks to data security. Duality’s solutions are designed to be quantum-safe, ensuring that data remains secure against potential future threats. This proactive approach demonstrates Duality’s commitment to maintaining long-term data integrity.

3. Homomorphic Encryption


This technology allows for computations to occur on encrypted data without needing to decrypt it first. In essence, this means that organizations can perform complex analyses and insights across secure domains, breaking down traditional information silos while maintaining confidentiality.

4. Secure Multiparty Computation (MPC)


Through MPC, various agencies can collaborate on investigations or analyses without revealing their individual data inputs. This collaborative framework empowers organizations to pool their insights and expertise while ensuring that respective data remains secure.

5. Federated Learning


This feature supports AI model training across decentralized data sources, encouraging the development of robust models without the need for centralized data. Agencies can train AI systems that respond to diverse datasets while safeguarding source information.

A Commitment to National Security


Rand Waldron, Vice President at Oracle, emphasized that their collaboration with Duality goes beyond merely providing a secure cloud environment. The goal is to foster a comprehensive ecosystem where national security and defense agencies can effectively execute their critical missions.

Conclusion


The collaboration between Oracle and Duality Technologies represents a monumental advancement in secure data handling for government and defense sectors. By integrating cutting-edge AI and maintaining rigorous security standards, these solutions empower organizations to leverage important insights from their data without compromising on privacy. As the digital landscape continues to evolve, such partnerships will be crucial in addressing the intricate challenges posed by information security and data privacy.

For further details on these groundbreaking solutions, visit the websites of Oracle and Duality Technologies.

Topics Business Technology)

【About Using Articles】

You can freely use the title and article content by linking to the page where the article is posted.
※ Images cannot be used.

【About Links】

Links are free to use.