International Journal on Science and Technology

E-ISSN: 2229-7677   •   Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 2 April-June 2025 Submit your research before last 3 days of June to publish your research paper in the issue of April-June.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 16 Issue 2
2025

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Secure-by-Design for AI Systems: A Technical Perspective

Author(s) VasanthKumarNaik Mudavatu
Country United States
Abstract Secure-by-Design (SbD) for AI systems represents a paradigm shift in security methodology, embedding robust security principles throughout the entire software development lifecycle instead of applying them retroactively. This technical article examines how SbD transforms the approach to AI security by integrating protective measures from initial design through implementation, deployment, and maintenance. It explores the unique threat vectors facing AI systems—including adversarial attacks, data poisoning, model inversion, and supply chain risks—that conventional security approaches often fail to address. The article details core technical components essential for implementing SbD in AI environments: secure coding practices, AI-specific threat modeling, adversarial robustness strategies, API security, comprehensive data protections, and continuous security testing methodologies. Industry-specific applications across financial services, healthcare, autonomous transportation, and critical infrastructure are analyzed to demonstrate how SbD principles adapt to different operational contexts. The article also addresses technical challenges in balancing performance with security, securing opaque architectures, managing distributed systems, and safeguarding continuously learning models, offering evidence-based solutions for each challenge.
Keywords Keywords: Secure-by-Design, artificial intelligence security, adversarial robustness, threat modeling, federated learning
Field Computer
Published In Volume 16, Issue 1, January-March 2025
Published On 2025-03-22
Cite This Secure-by-Design for AI Systems: A Technical Perspective - VasanthKumarNaik Mudavatu - IJSAT Volume 16, Issue 1, January-March 2025. DOI 10.71097/IJSAT.v16.i1.2656
DOI https://doi.org/10.71097/IJSAT.v16.i1.2656
Short DOI https://doi.org/g892fw
View / Download PDF File

Share this



CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJSAT DOI prefix is
10.71097/IJSAT

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 15 Isu 4Cover Page Vol 15 Isu 3Cover Page Vol 15 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJSAT
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us Message on WhatsApp +91-9687-182-185 editor@ijsat.org