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Building Resilience Security Architecture for Healthcare AI and Robotics: Best Practices

by Olusola Gbenga Olufemi, Seraphine Agbor
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 187 - Number 136
Year of Publication: 2026
Authors: Olusola Gbenga Olufemi, Seraphine Agbor
10.5120/ijcaf0c19b006749

Olusola Gbenga Olufemi, Seraphine Agbor . Building Resilience Security Architecture for Healthcare AI and Robotics: Best Practices. International Journal of Computer Applications. 187, 136 ( Aug 2026), 29-36. DOI=10.5120/ijcaf0c19b006749

@article{ 10.5120/ijcaf0c19b006749,
author = { Olusola Gbenga Olufemi, Seraphine Agbor },
title = { Building Resilience Security Architecture for Healthcare AI and Robotics: Best Practices },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2026 },
volume = { 187 },
number = { 136 },
month = { Aug },
year = { 2026 },
issn = { 0975-8887 },
pages = { 29-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume187/number136/building-resilience-security-architecture-for-healthcare-ai-and-robotics-best-practices/ },
doi = { 10.5120/ijcaf0c19b006749 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2026-08-20T21:55:02.687671+05:30
%A Olusola Gbenga Olufemi
%A Seraphine Agbor
%T Building Resilience Security Architecture for Healthcare AI and Robotics: Best Practices
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 136
%P 29-36
%D 2026
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As healthcare delivery becomes increasingly dependent on AI-driven analytics and robotic systems, ensuring the confidentiality, integrity, and availability of patients’ data and automated processes is paramount. This paper surveys the state of the art in security architectures tailored for intelligent and robotic healthcare platforms. It reviews emerging frameworks - Zero Trust, DevSecOps, federated learning, and hardware-rooted trust - and distills best practices in threat modeling, cryptographic data management, network segmentation, and secure development lifecycles. It also illustrates how these approaches interoperate to build layered, resilient defenses against sophisticated cyber-physical threats, compliance gaps, and supply-chain risks. A matrix of frameworks versus capabilities guides practitioners in selecting and integrating security controls that meet both technical and regulatory requirements. Finally, the paper outlines open research challenges and proposes a roadmap for future advances in secure and trustworthy AI and robotics in healthcare.

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Index Terms

Computer Science
Information Sciences

Keywords

Resilient Security Architecture; Zero Trust; DevSecOps; Federated Learning; Hardware Security Modules; Clinical Robotics; Data Privacy; Regulatory Compliance

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