HOLISTIC DEVSECOPS FOR DISTRIBUTED SYSTEMS: UNIFYING ZERO TRUST ARCHITECTURE, BLOCKCHAIN PROVENANCE, AND INTELLIGENCE-DRIVEN SECURITY AUTOMATION

Abstract

Background: Modern software delivery environments—characterized by microservices, cloud-native architectures, distributed ledgers, and cyber-physical integrations—present complex security challenges that traditional perimeter-based defenses cannot adequately address. This paper proposes a cohesive, research-grounded framework that integrates Zero Trust principles, selective blockchain primitives, automated threat intelligence, and adaptive risk-aware controls into Dev SecOps pipelines. Objective: To articulate a theoretically rigorous, practically implementable architecture and methodology for embedding continuous, automated security validation into the software delivery lifecycle while managing scalability, cost, and regulatory constraints.

Methods: We synthesize cross-disciplinary literature (security engineering, blockchain, DevOps adoption studies, cyber-physical systems, and post-quantum planning) to design an integrative model; we then describe procedural instantiations, developer interaction patterns, and governance constructs to operationalize the model.

Results: The conceptual framework yields traceable security attestations, improved anomaly detection surfaces for CPS telemetry, and a policy-driven automation layer that minimizes human slowdowns without sacrificing control.

Conclusions: Combining Zero Trust controls, selective blockchain anchoring for provenance, and automated CTI-driven gating provides a resilient path for Dev SecOps evolution. Realizing the framework requires targeted investments in developer education, tooling alignment, and phased regulatory mapping.