Managing Access Control for AI APIs via Blockchain Smart Contracts

Abstract

AI has already begun to lead transformation across industries, along with AI APIs such as predictive modeling and Natural Language Processing. Just like them, AI applications are on the rise as well. Unfortunately, those typically operate under the hackneyed idea of having a universal centralized access control entity, which are not only prone to security breaches, rather they lack efficiency and access transparency as well. Consequently, this hinders attempts made to secure sensitive data and enforce accountability in AI systems. This paper proposes a new system model based on blockchain technology and smart contracts and discusses how it manages access control to AI APIs. This solution tackles the limitations of conventional systems such as security, scalability, and transparency brought by decomposing access rights. There are different possibilities for monitoring and enforcing security policies, One of them, Dynamic access control prevents unauthorized users from gaining access to any resource. In addition, blockchain guarantees auditing by virtue of its decentralized nature, eliminating reliance on central entities. The proposed approach is substantiated through a combination of simulations alongside proof-of-concept implementations, demonstrating the ability to decrease access latency, enhance resistance to rogue access attempts and access management processes. This work increasingly enhances the decentralized security solutions available by providing an effective solution for access control in the context of centralized AI API’s for both enterprise and government use cases being scalable and robust as well as transparent.