Leveraging Irreducibility Theory for Secure Cryptographic Key Generation in AI API Systems

This research explores how irreducibility theory—particularly Dr. Sudesh Khanduja’s generalized criteria—can be applied to generate more secure cryptographic keys for API communication in AI systems. A practical framework is proposed for key generation using advanced irreducibility tests, enhancing security in applications like federated learning and cloud AI. This work bridges abstract algebra with modern cybersecurity needs in artificial intelligence and offers a new direction for encryption robustness in the era of intelligent systems.