Secure Delivery
DevSecOps Operating Model
Create a delivery model where security, governance, compliance, and audit evidence are part of normal engineering flow.
Animated Architecture
Enterprise DevSecOps infinity loop
Local Dev
IDE, Git CLI, pre-commit
Git + PR/MR
GitHub, GitLab, Bitbucket
Test + Quality
JUnit, pytest, SonarQube
Build + Package
AWS CodeBuild, GCP Cloud Build
Scan + Evidence
SAST, SCA, IaC, SBOM
Push Artifact
ECR, GAR, ACR, Harbor
Deploy
CodeDeploy, Cloud Deploy, UCD
Observe + Feedback
SLO, incident, FinOps signals
Auto Jira Task
Defect, risk, cost, reliability
Back to Dev
Backlog, fix, new PR
Reference Flow
Operating blueprint
What This Covers
Practical capability depth, not just a tool list.
Security, compliance, quality, and release governance embedded into delivery instead of bolted on at the end.
Secure SDLC model from local development, Git commit, PR/MR review, unit tests, code quality, build, scan, artifact push, deployment, observability feedback, automatic Jira task creation, and back-to-dev remediation
SAST, SCA, secrets scanning, IaC scanning, container scanning, SBOMs, and artifact signing
Environment promotion, approvals, separation of duties, and release evidence across GitLab, GitHub, Jenkins, Bamboo, IBM UCD, AWS CodePipeline/CodeBuild/CodeDeploy, Google Cloud Build/Cloud Deploy, and Azure
Governance patterns for regulated teams with automatic feedback creation in Jira or service-management workflows
Automation patterns
Business outcomes
Tools & Platforms
Coverage across enterprise ecosystems.
The implementation can align with existing cloud platforms and delivery tools rather than forcing a narrow vendor path.
