This podcast explores a new system for managing personal data using blockchain, quantum AI, smart contracts, and homomorphic encryption (HE). The paper outlines the potential benefits of this system, such as enhanced security, transparency, and user control over data access and sharing. The paper also examines the technical feasibility and challenges of implementing this system, including the need for quantum-resistant cryptography, the development of real-time data valuation models, and the complexities of legal and regulatory compliance. The author envisions a future where users are empowered to control their data and even monetize it, leading to a more equitable and secure data economy.

Real Time Data Sovereignty

Summary

The article explores the challenges of integrating artificial intelligence (AI) into the Defense Industrial Base (DIB) while adhering to strict Department of Defense (DoD) and Federal Acquisition Regulations (FAR) requirements. It warns against the "AI Thirst Trap," where organizations hastily adopt AI without considering the long-term consequences, such as security risks, compliance issues, and potential data breaches. The article highlights the need for clear AI strategies, secure hybrid cloud architectures, and a culture of compliance to mitigate these risks and ensure successful AI adoption within the DIB. The author emphasizes the importance of responsible AI integration to unlock its potential while avoiding the pitfalls of the AI Thirst Trap.



Cyber Explorer