INL Innovation Spotlight Innovative Data Concealment for Secure AI Research: The DIOD Methodology

The Idaho National Laboratory (INL) is seeking a partner to license and commercialize its innovative DIOD methodology for secure AI research. This technology enables the sharing of critical data while maintaining confidentiality, making it ideal for industries such as defense, healthcare, and energy. The DIOD methodology has various applications, including facilitating secure data sharing in the defense and military sectors, enabling the sharing of patient data for research purposes in healthcare, and exchanging data on energy generation and storage innovations in the energy sector. The benefits of this technology include enhanced security, preserved data utility, scalability, and compatibility across various scientific and industrial sectors. • Enhanced Security: Enables data sharing while protecting sensitive system information. • Preserved Data Utility: Maintains crucial correlations and functional dependencies for AI research. • Scalability: Provides an efficient solution for different data sizes and types. • Compatibility: Applicable across various scientific and industrial sectors without compromising data integrity. • Innovation in Anonymization: Represents a significant advancement beyond traditional data protection methods such as k-anonymity and encryption.