AI-Powered Cyber Defense and API Security Architecture for Multi-Cloud Enterprise Applications

Authors

  • V. P. Gladis Pushparathi Professor, Department of Computer Science & Engineering, RMK College of Engineering and Technology, Chennai, India Author

DOI:

https://doi.org/10.64235/k5srj415

Keywords:

Artificial Intelligence, Cyber Defense, API Security, Multi-Cloud, Zero Trust Architecture, Machine Learning, Cloud Security, Threat Detection, Microservices, Enterprise Applications

Abstract

The rapid adoption of multi-cloud computing, microservices, containerized workloads, and application programming interfaces
(APIs) has transformed enterprise application delivery while expanding the cybersecurity attack surface. Traditional perimeterbased
security approaches are increasingly inadequate because applications, users, services, data, and APIs operate across
distributed cloud environments. This paper proposes an AI-powered cyber defense and API security architecture designed for
multi-cloud enterprise applications. The proposed architecture integrates artificial intelligence and machine learning, zero-trust
security, API gateways, identity and access management, service-mesh security, threat intelligence, security information and event
management, and automated incident response. AI models continuously analyze API traffic, authentication behavior, application
logs, network flows, and cloud telemetry to identify anomalies, malicious activities, credential misuse, automated attacks, and
emerging threats. Zero-trust principles provide continuous verification of users, devices, workloads, and service identities,
while API security controls address authorization failures, authentication weaknesses, excessive resource consumption, security
misconfiguration, improper API inventories, and unsafe third-party API consumption. The research adopts a design-oriented
methodology involving architecture development, threat modeling, simulation, and performance evaluation. The proposed
approach aims to improve threat detection accuracy, reduce response time, strengthen API protection, and provide consistent
security controls across heterogeneous cloud platforms. The architecture also supports scalable, adaptive, and automated
enterprise cyber defense.

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Published

2025-10-01

How to Cite

AI-Powered Cyber Defense and API Security Architecture for Multi-Cloud Enterprise Applications. (2025). Journal of Cyber-Physical Security and Robotics, 1(02), 134-145. https://doi.org/10.64235/k5srj415