Unified DevSecOps Pipelines: Accelerating Secure Deployments with NLP & JFrog Xray

In today’s application security landscape, navigating complex deployment environments often feels like facing an onslaught of cyber adversaries. Much like Batman’s trusty utility belt— equipping the perfect gadget for every challenge— integrating robust security into your SDLC transforms your pipeline into a resilient defense against vulnerabilities and breaches. This talk deep dives into a comprehensive case study where we revolutionized our security posture. On one hand, we applied an innovative strategy to unify all our deployments to a 'Unified Deployment Model' based on Elastic Kubernetes Service (EKS), while on the other by integrating JFrog Xray into each stage of our Software Development Lifecycle (SDLC). Through this integration, our team uncovered about 100K previously undetected security violations that our traditional fragmented approach had overlooked. In large codebases with services across mobile and front-end, lack of standardization and common tooling causes operational burdens. Teams often build custom deployment flows, leading to two major issues: no consistent “shift-left” feedback loop, and no unified security posture or compliance. This fragmentation hampers visibility into DORA metrics due to divergent pipelines and tech stacks. Here, we'll explore approaches for architecting a 'Unified Deployment Pipeline' that accelerates developer velocity and productivity while enforcing robust security governance across the SDLC with integrated logging, tracing, and metrics. Additionally, by automating SBOM generation, our strategy delivers an organization-wide impact—enhancing transparency, compliance, and overall risk mitigation. This architecture also provides central observability of progress and aggregates metrics to monitor the health and maturity of deployments. Additionally, we will also investigate how the “build once, deploy many times” paradigm aligns with the proposed architecture.