HOLISTIC FUSION OF CYBER THREAT INTELLIGENCE, SEMANTIC DEDUPLICATION, AND AI-DRIVEN AUTOMATION FOR PROACTIVE RISK MITIGATION IN DEVSECOPS PIPELINES
Keywords:
Dev SecOps, Cyber Threat Intelligence, Semantic DeduplicationAbstract
Background: Modern software delivery pipelines increasingly demand that security operate at velocity without becoming a bottleneck; integrating cyber threat intelligence (CTI), automated compliance, and semantic deduplication into DevSecOps is posited as a path to reconcile speed with robust defense (Samtani et al., 2019; Malik, 2025).
Objective: This paper develops a theoretically grounded, practice-oriented framework that synthesizes CTI mining, semantic analysis for deduplication of tool-generated findings, and AI-enabled automation for compliance and privacy checking to enable proactive risk mitigation in continuous integration and continuous delivery (CI/CD) workflows (Sun et al., 2023; Gulraiz, n.d.; Amaral et al., 2021).
Methods: We perform an integrative conceptual synthesis rooted in the referenced literature, articulating method chains and mappings from intelligence sources through automated analytic pipelines into developer-facing remediation actions, while considering energy, audit, and operational constraints (Zhou et al., 2022; Limbrunner, 2023; Mohammed, 2023).
Results: The proposed framework operationalizes CTI into actionable policy artifacts that are continuously matched, semantically deduplicated, and automatically enforced or suggested in pre-production stages; it reconciles completeness and privacy checks with regulatory obligations and reduces alert fatigue through semantic consolidation (Sun et al., 2023; Gulraiz, n.d.; Amaral et al., 2021).
Conclusions: Integrating CTI with semantic deduplication and AI-enabled automation strengthens situational awareness and preemptive defense in DevSecOps, but imposes challenges in privacy, auditability, and energy footprint that require trade-offs and future empirical evaluation (Muikku, 2020; Limbrunner, 2023; Andrea Tang, 2019). This article maps the theoretical foundations, methodical steps, expected outcomes, limitations, and a research agenda for empirical validation.
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