SYSTEMIC EFFICIENCY OF POST-QUANTUM CRYPTOGRAPHY IN ARTIFICIAL INTELLIGENCE-BASED API INFRASTRUCTURES

Abstract

As a result of the widespread implementation of artificial intelligence technologies, modern information systems rely on distributed and highly automated API infrastructures that process large amounts of data in real time. The security of such systems is based on traditional public-key cryptography, and their stability depends on mathematical complexity problems. However, the quantum algorithm proposed by Peter Shor theoretically demonstrated the possibility of breaking cryptography based on RSA and elliptic curves. Therefore, post-quantum cryptography algorithms were standardized by the National Institute of Standards and Technology. This article empirically studies the systemic performance indicators of implementing post-quantum algorithms in an API infrastructure based on a microservice architecture with integrated artificial intelligence components. The research results show that post-quantum digital signature algorithms significantly increase the duration of the secure connection process at the transport layer, but the latency in the overall API transaction flow remains acceptable under regulatory control and architectural optimization.