DevSecOps Roadmap

DevSecOps integrates security into every stage of software delivery rather than treating it as a final review before release. The goal is a delivery system in which insecure changes are prevented, detected or corrected as early as possible.

Executive summary

Build foundations first (programming, scripting, CIA, identity, encryption, networking), then secure coding and testing, threat and vulnerability management, cloud/container/pipeline security, secure architecture, incident response and governance. Use the 24-week plan and maturity model as your operating system.

When to use this page

• Use when embedding security into engineering delivery, hardening CI/CD, or building DevSecOps capability across a team.
• Pair with the full guide: The Complete DevSecOps Roadmap.
• Cross-check with API Security Engineering, Security Engineering and Security & privacy.

Capability map

1. Programming and scripting for security automation
2. CIA triad, authentication, authorisation and least privilege
3. Encryption, networking, firewalls and segmentation
4. Secure coding and OWASP risks
5. Security testing tools, monitoring and SIEM
6. Threat modelling, attack-surface mapping and vulnerability management
7. Cloud, container and pipeline security
8. Supply chain, SBOMs and artefact signing
9. Defence in depth, Zero Trust and secure API design
10. Incident response, EDR, SOAR and enterprise playbooks
11. Frameworks, compliance mapping and risk quantification
12. Metrics, maturity and continuous improvement

DevOps versus DevSecOps

DevOps	DevSecOps
Optimises speed and reliability	Optimises speed, reliability and security
Security may be a separate stage	Security is embedded throughout delivery
Testing focuses on function and performance	Testing includes code, dependency, secret, config and infrastructure security
Production monitoring focuses on availability	Monitoring includes availability, behaviour, threats and abuse

DevSecOps does not mean every developer becomes a penetration tester. Each participant understands their security responsibilities and has appropriate automated support.

Twelve-stage journey

Stage 1 — Programming and scripting

Choose one primary language (Python recommended) plus Bash or PowerShell. Automate log analysis, API calls and remediation scripts without hard-coded credentials.

Build: a Python utility that detects failed logins, scores risk and alerts a webhook.

Stage 2 — Core security principles

Master CIA, authentication versus authorisation, least privilege and encryption (symmetric, asymmetric, hashing, key management).

Build: IAM role matrix for developer, platform, security, support, auditor, app service, CI/CD and emergency admin.

Stage 3 — Networking and web security

Understand IP, DNS, HTTP/HTTPS, TLS, firewalls, ACLs and network zoning.

Build: inspect headers, cookies, certificates and CSP with browser tools and curl; document exposure.

Stage 4 — Secure coding

Prevent injection, XSS, CSRF, SSRF, path traversal and related OWASP risks with server-side validation and parameterised queries.

Build: deliberately vulnerable app plus a hardened version with a security test suite.

Stage 5 — Testing and visibility

Use authorised testing with Burp Suite, Nmap and Wireshark. Design SIEM-worthy logs and actionable alerts.

Build: local stack lab; five detection rules with investigation steps and owners.

Stage 6 — Threat and risk management

Apply STRIDE/PASTA, map attack surface and run a full vulnerability-management lifecycle with risk-based prioritisation.

Build: threat model, asset inventory and remediation dashboard.

Stage 7 — Cloud and containers

Apply shared-responsibility controls, CSPM findings, hardened images, Kubernetes RBAC/network policies and scan-at-build/deploy gates.

Build: containerised app with non-root image, network policy and least-privilege service account.

Stage 8 — Pipeline and supply chain

Harden CI/CD (MFA, protected branches, ephemeral runners, workload identity). Add SAST, SCA, secret scanning, IaC scanning, SBOM and signing.

Build: end-to-end secure pipeline with risk-based deployment gates.

Stage 9 — Secure architecture

Design defence in depth, Zero Trust access decisions, secure APIs, DDoS controls, multi-region security continuity and PKI lifecycle.

Build: API security contract and certificate monitoring for one critical service.

Stage 10 — Incident response and operations

Prepare, detect, triage, contain, eradicate, recover and learn. Add EDR coverage and cautious SOAR automation.

Build: playbooks for account compromise, key exposure, CI/CD compromise and public storage exposure.

Stage 11 — Governance and compliance

Map controls to NIST, ISO 27001 and SOC 2; quantify risk in business language; maintain evidence and exception processes.

Build: control-mapping matrix and executive risk report.

Stage 12 — Lifecycle embedding and portfolio

Embed security from requirements through runtime improvement. Prove capability with one enterprise-grade secure application.

Build: full portfolio project with threat model, pipeline evidence, detections and compliance mapping.

Secure pipeline (reference)

Commit → Secret scan → SAST → SCA → Tests → IaC scan
  → Container build → Image scan → Sign → Deploy test
  → DAST → Policy approval → Production → Runtime monitoring

Define which findings block, warn, accept as exceptions, or stay informational.

24-week plan (summary)

Weeks	Focus	Key evidence
1–4	Foundations	Log script, authenticated API, traffic lab
5–8	Application security	Vulnerable + secure app; security tests
9–12	Threats and monitoring	Threat model, inventory, five alerts, vuln dashboard
13–16	Cloud and containers	Hardened image, K8s deploy, network policy
17–20	Pipeline and supply chain	Secure pipeline, SBOM, signed artefact, gate
21–24	Enterprise security	IR playbook, control matrix, architecture, risk report

Maturity model

Level	Characteristics	Priority
1 Reactive	Late security; manual; incomplete inventory; improvised IR	Visibility and accountability
2 Repeatable	Standard scanning; remediation targets; basic playbooks	Consistent processes
3 Integrated	Pipeline checks; threat modelling in design; least privilege	Embed into engineering workflows
4 Measured	Risk metrics; control testing; governed exceptions	Effectiveness and less friction
5 Adaptive	Threat-responsive controls; simulations; rapid learning loops	Continuously learning security system

Metrics that matter

Prefer outcomes over tool activity:

• Prevention — secret scanning coverage; managed identities; signed artefacts
• Detection — mean time to detect; alert precision; log coverage on critical assets
• Remediation — mean time to remediate; critical-vulnerability age
• Delivery — findings caught before production; emergency exception count
• Resilience — mean time to contain; backup restoration success
• Governance — access-review completion; control-test pass rate

Core principle

DevSecOps is not a single role, certification or product. It is an operating model that answers four questions throughout delivery: What could go wrong? How will we prevent it? How will we detect it? How will we respond when it happens?

Key takeaways

• Embed security across the lifecycle; tools alone do not create DevSecOps.
• Sequence learning from foundations through cloud, pipeline, response and governance.
• Measure prevention, detection, remediation and resilience—not scan or alert volume.

What to do next

• Read the full guide: The Complete DevSecOps Roadmap.
• Deepen API controls with the API Security Engineering roadmap.
• Assess LLM, RAG and agent systems with the AI Red Teaming roadmap.
• Build the full assurance programme with Enterprise AI Security.
• Practise related skills: Security Engineering and Security & privacy.