ABSTRACT
In modern software development, security is no longer a separate phase but an integrated component throughout the Software Development Lifecycle (SDLC). This paper presents a DevSecOps-centered conceptual model designed to ensure continuous integration (CI) and secure deployment within contemporary development environments. The proposed model addresses critical gaps in traditional DevOps practices by embedding security controls, testing mechanisms, and compliance checks at every stage—from code development to deployment. It emphasizes collaboration among development, security, and operations teams to foster a culture of shared responsibility and early detection of vulnerabilities. The model integrates automated security tools, such as static and dynamic application security testing (SAST and DAST), software composition analysis (SCA), and infrastructure-as-code (IaC) scanners, into the CI pipeline. Additionally, it supports threat modeling, identity and access management (IAM), and secure coding standards. These components are orchestrated to ensure security is not a bottleneck but a continuous, automated, and scalable process. The model also incorporates feedback loops that allow real-time detection, response, and remediation of security issues. Furthermore, it promotes compliance with security frameworks and regulatory requirements, enabling auditability and traceability through robust logging and monitoring systems. This approach ensures not only functional software delivery but also resilient and trustworthy applications in increasingly complex and hostile threat landscapes. A case study implementation validates the effectiveness of the model, demonstrating reduced security incident rates and improved deployment velocity without sacrificing protection. By positioning security as a central pillar of the DevOps culture, this conceptual model bridges the gap between rapid software delivery and enterprise-grade security expectations. The model is particularly beneficial for organizations adopting cloud-native architectures, microservices, and containerized environments, where agility and security must coexist. Ultimately, this work contributes a strategic framework for embedding cybersecurity into agile workflows, empowering teams to deliver secure, scalable, and high-quality software systems at speed.
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