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ARDOS: A Self-Correcting Pipeline with Auto-Patching and Cost Optimization for E-Commerce Product Catalogs
¹ Professor, Department of Information Technology, Puducherry Technological University, Puducherry, India. ² ³ ⁴ Department of Information Technology, Puducherry Technological University, Puducherry, India.
Published Online: March-April 2026
Pages: 186-191
Cite this article
↗ https://www.doi.org/10.59256/ijire.20260702024Abstract
E-commerce platforms operating under rapid CI/CD cycles face increasing security risks that traditional DevSecOps pipelines fail to remediate efficiently. ARDOS addresses this gap through autonomous patching and validation. Traditional DevSecOps frameworks often rely on a fragmented array of disconnected tools for monitoring and vulnerability assessment, leading to a "remediation gap" characterized by high operational costs and delayed response to threats. This work proposes ARDOS, a self-correcting DevSecOps pipeline that reduces vulnerability remediation time from hours to minutes through autonomous patch synthesis and validation. By integrating real-time vulnerability identification with an AI-driven patching engine and automated validation protocols, ARDOS establishes a closed-loop environment. This system manages the entire security lifecycle of a code commit—from the initial detection of a flaw to its verified resolution—eliminating the necessity for manual developer intervention. The implementation of ARDOS shifts the security paradigm from reactive alerting to proactive, autonomous healing, thereby strengthening the security posture of e-commerce platforms while optimizing cloud infrastructure expenditures.
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