DevSecOps Roadmap for Beginners Part 1

Overview of DevSecOps

What is DevSecOps?

DevSecOps means integrating security into every stage of the software development lifecycle, making it a shared responsibility alongside development and operations. Instead of adding security at the end, DevSecOps embeds automated security checks, compliance, and monitoring directly into CI/CD pipelines.

That we have skipped the foundation concepts like (linux commands ,Scripting and network fundamentals)

The overview of the workflow going this blog:

+------------------------+--------------------------------------------------------------------------+
| Topic                  | Coverage                                                                 |
+------------------------+--------------------------------------------------------------------------+
| DevSecOps Introduction | What is DevSecOps, Shift-Left, Pipeline Overview, Tools Overview         |
| Secure CI/CD Pipeline  | Jenkins Pipeline, SonarQube, Snyk, Trivy, OWASP ZAP, Falco               |
| Git Security           | Pre-Commit Hooks, Gitleaks, GitHub Actions, Branch Protection,           |
|                        | CODEOWNERS, Dependabot                                                   |
| Container Security     | Non-Root Containers, Multi-Stage Builds, Distroless, Trivy,             |
|                        | OSV Scanner                                                              |
| Kubernetes Security    | RBAC, Network Policies, Pod Security Standards, Secrets Management       |
| IaC Security           | Terraform Security, Checkov, Misconfiguration Detection                  |
| Runtime Security       | Linux Capabilities, Seccomp Profiles, AppArmor, Falco                   |
| End-to-End Pipeline    | Complete DevSecOps Pipeline integrating all tools                        |
+------------------------+--------------------------------------------------------------------------+

— — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — — —

⚙️ DevSecOps Lifecycle

+-----------+--------------------------------------------------------------+
| Phase     | Security Integration Example                                 |
+-----------+--------------------------------------------------------------+
| Plan      | Threat modeling, secure design reviews                       |
| Develop   | Static code analysis, secure coding practices                |
| Build     | Automated dependency scanning                                |
| Test      | Dynamic Application Security Testing (DAST)                  |
| Release   | Policy enforcement, compliance checks                        |
| Deploy    | Infrastructure as Code (IaC) with security controls          |
| Operate   | Continuous monitoring, incident response                     |
+-----------+--------------------------------------------------------------+

Why Devsecops is import?

1. Secret leak git repos

• Developers sometimes commit API keys, passwords, or tokens into GitHub/GitLab.
• Attackers scan public repos for exposed secrets.
• DevSecOps solution: Automated secret scanning tools (e.g., GitGuardian, TruffleHog) integrated into CI/CD pipelines to block commits with sensitive data.

2. Vulnerable dependencies

• Applications rely on open-source libraries that may contain known CVEs (Common Vulnerabilities and Exposures).
• Example: Log4j vulnerability in 2021.
• DevSecOps solution: Dependency scanning (SCA — Software Composition Analysis) to detect and patch vulnerable packages before deployment.

3. Cloud misconfiguration

• Misconfigured S3 buckets, overly permissive IAM roles, or exposed databases are common attack vectors.
• DevSecOps solution: Infrastructure as Code (IaC) scanning (e.g., Terraform, ARM templates) with security policies enforced automatically.

4. Vulnerable containers

• Containers may run outdated OS images or include unnecessary packages.
• Attackers exploit these weaknesses to gain access.
• DevSecOps solution: Container image scanning (e.g., Aqua, Anchore, Clair) integrated into build pipelines to ensure only hardened images are deployed.

5. Kubernetes privieldge escalation

• Misconfigured RBAC roles or overly permissive pods can let attackers escalate privileges inside clusters.
• DevSecOps solution: Policy enforcement (OPA/Gatekeeper, Kyverno) and runtime security tools (Falco) to detect abnormal behavior in Kubernetes.

End-to-End Workflow

+------+-------------------------+--------------------------------------------------------------------------+----------------------------------------------+
| Step | DevSecOps Phase         | Activity                                                                 | Common Tools                                 |
+------+-------------------------+--------------------------------------------------------------------------+----------------------------------------------+
| 1    | Plan                    | Gather requirements and define security objectives.                      | Jira, Confluence                             |
| 2    | Threat Modeling         | Identify threats and attack vectors.                                     | Microsoft TMT, OWASP Threat Dragon           |
| 3    | Secure Design           | Perform architecture and design reviews.                                 | Draw.io, Lucidchart                          |
| 4    | Source Code             | Developers write application and IaC code.                               | VS Code, IntelliJ, Terraform                 |
| 5    | Version Control         | Push code to Git repository.                                             | GitHub, GitLab, Bitbucket                    |
| 6    | Pull Request            | Peer review and approval before merge.                                   | GitHub PR, GitLab MR                         |
| 7    | Secret Detection        | Scan for exposed secrets before commit.                                  | Gitleaks, GitGuardian                        |
| 8    | SAST                    | Scan source code for vulnerabilities.                                    | SonarQube, Semgrep, CodeQL                   |
| 9    | SCA                     | Scan third-party dependencies.                                           | Snyk, Dependabot, OWASP Dependency-Check     |
| 10   | IaC Security            | Scan Terraform/Kubernetes manifests.                                     | Checkov, tfsec, Terrascan                    |
| 11   | Build                   | Compile application and generate artifacts.                              | Maven, Gradle, npm                           |
| 12   | Unit Testing            | Execute automated unit tests.                                            | JUnit, pytest, Jest                          |
| 13   | Container Build         | Build Docker container image.                                            | Docker                                       |
| 14   | Container Scan          | Scan image for vulnerabilities.                                          | Trivy, Grype, Clair                          |
| 15   | Image Registry          | Store approved container images.                                         | Docker Hub, Harbor, Amazon ECR               |
| 16   | CI/CD Pipeline          | Automate build, test, and deployment.                                    | Jenkins, GitHub Actions, GitLab CI           |
| 17   | Secrets Management      | Retrieve temporary credentials securely.                                 | HashiCorp Vault, AWS Secrets Manager         |
| 18   | Policy Validation       | Enforce security and compliance rules.                                   | OPA, Sentinel                                |
| 19   | DAST                    | Scan running application for vulnerabilities.                            | OWASP ZAP, Burp Suite Enterprise             |
| 20   | API Security Testing    | Test REST/GraphQL APIs.                                                  | Postman, ZAP, StackHawk                      |
| 21   | Approval Gate           | Manual approval for production deployment.                               | Jenkins, GitHub Environments                 |
| 22   | Terraform Plan          | Preview infrastructure changes.                                          | Terraform                                    |
| 23   | Terraform Apply         | Provision cloud infrastructure.                                          | Terraform                                    |
| 24   | Kubernetes Deployment   | Deploy workloads to Kubernetes.                                          | kubectl, Helm, Argo CD                       |
| 25   | Admission Control       | Validate Kubernetes resources.                                           | Kyverno, Gatekeeper                          |
| 26   | Runtime Security        | Monitor containers and hosts.                                            | Falco, AppArmor, Seccomp                     |
| 27   | Monitoring              | Monitor application health and metrics.                                  | Prometheus, Grafana                          |
| 28   | Logging                 | Collect application and infrastructure logs.                             | ELK Stack, Loki, Splunk                      |
| 29   | Alerting                | Notify teams about security incidents.                                   | Alertmanager, PagerDuty, Slack               |
| 30   | SIEM                    | Correlate logs and detect threats.                                       | Microsoft Sentinel, Splunk ES, QRadar        |
| 31   | Incident Response       | Investigate and remediate security incidents.                            | TheHive, Cortex                              |
| 32   | Feedback                | Feed lessons learned into the next development cycle.                    | Jira, Confluence                             |
+------+-------------------------+--------------------------------------------------------------------------+----------------------------------------------+

Terraform workflow

🔑 DevSecOps Workflow for IaC + Vault

• Step 1 — Write IaC Infrastructure engineers write Terraform code to define cloud resources.
• Step 2 — Version Control Push the Terraform code to a Git repository (GitHub, GitLab, Bitbucket).
• Step 3 — Pull Request Create a PR/MR for peer review and approval before merging.
• Step 4 — CI/CD Trigger Jenkins, GitHub Actions, GitLab CI, or Azure DevOps automatically start the pipeline.
• Step 5 — Terraform Validation Run terraform fmt, terraform validate, and terraform plan to check syntax and preview changes.
• Step 6 — Security Scanning Scan Terraform code using tools like Checkov, tfsec, Trivy, Terrascan.
• Step 7 — Vault Authentication CI/CD pipeline authenticates with HashiCorp Vault using AppRole, OIDC, or JWT.
• Step 8 — Dynamic Credentials Vault generates temporary cloud credentials (AWS, Azure, GCP) with limited permissions and automatic expiration.
• Step 9 — Terraform Apply Terraform provisions or updates infrastructure using Vault-issued credentials.
• Step 10 — Remote State Store Terraform state securely in a remote backend (Amazon S3 + DynamoDB, Azure Blob Storage, Terraform Cloud).
• Step 11 — Credential Revocation Vault automatically revokes temporary credentials after deployment is complete.
• Step 12 — Monitoring & Logging Use Prometheus, Grafana, CloudWatch, ELK, Splunk to continuously monitor and log infrastructure activity.

Shift-Left Principle (DevSecOps)

The Shift-Left Principle means moving security activities earlier (to the left) in the Software Development Life Cycle (SDLC) instead of waiting until the application is deployed or in production.

Traditional Approach

Requirements → Design → Development → Testing → Deployment → Production
                                                 ↑
                             Security Testing(deployment phase)

Problem:

• Vulnerabilities are discovered late.
• Fixing issues is expensive.
• Releases are delayed.
• More security risks reach production.

Shift-Left Approach

Requirements → Design → Development → Testing → Deployment → Production
      ↑             ↑            ↑           ↑
 Threat Model    Secure      SAST/SCA    DAST/API
                 Design      Secret Scan  Testing

Threat Modeling

Threat modeling is a structured process used to identify, assess, and mitigate potential security threats during the design phase of an application or system. In DevSecOps, it follows the Shift-Left principle by addressing security risks before development begins, reducing the cost and effort of fixing vulnerabilities later.

Trust Boundary as the place where you, as an attacker, gain an opportunity to influence a trusted system.

Crossing the boundary means the data may become untrusted and must be validated, authenticated, authorized, logged, encrypted, etc.

How to Use a Trust Boundary for Threat Analysis (STRIDE)

Whenever data crosses a trust boundary, analyze the data flow using the STRIDE model. Ask one question for each STRIDE category to identify potential threats.

STRIDE Pentester Question

S — Spoofing Can I impersonate another user or service?

T — Tampering Can I modify requests or data?

R — Repudiation Can I perform actions without leaving evidence?

I — Information Disclosure Can I access sensitive information?

D — Denial of Service Can I make the application or service unavailable?

E — Elevation of Privilege Can I gain more permissions than I should have?

Practical lab sample:

After clicking of start

create the new model

click the add a new diagram and save it.

after create of the diagram close it and open it again .click the backend diagram in that choose the new threat context .

we can customize the pritority of bugs.

choosing every part of diagram we find vulnerability and then close it genrate the report.

Common Threat Modeling Tools

• Microsoft Threat Modeling Tool (TMT) Helps create and analyze threat models using the STRIDE methodology.
• OWASP Threat Dragon Open‑source tool for building data flow diagrams and performing threat modeling.
• IriusRisk Provides automated threat modeling with built‑in security recommendations.
• Lucidchart / Draw.io General diagramming tools used to create architecture and data flow diagrams for threat analysis.
• Miro Collaborative whiteboarding platform often used in workshops for brainstorming threats and mitigations.