DevSecOps Maturity Model

1. What Is DevSecOps Maturity Model?

A DevSecOps Maturity Model is an assessment framework used to evaluate how well an organization has integrated security into its software development and operations practices. DevSecOps stands for development, security, and operations: the idea that software is built, secured, deployed, and run as one continuous system rather than as separate handoffs between teams.

In practical terms, the model helps leaders answer a simple question: how advanced are we, really, at building secure software at speed? Instead of relying on anecdotes, it breaks the answer into a set of capabilities such as pipeline automation, secure coding, testing, cloud controls, governance, and incident response, and then rates their maturity.

Consultants use this kind of model frequently because it creates a common language for engineering, security, and business leaders. It turns a vague concern about release risk into a structured view of where the IT organization is strong, inconsistent, or exposed.

2. Origin and Background

Origin: No single authoritative creator is recognized. The term “DevSecOps Maturity Model” has been in use since at least the mid-2010s, but it is best understood as a family of related maturity models rather than one proprietary framework with a universally accepted source.

Its roots are clearer than its label. The maturity-model approach draws from earlier capability and process frameworks such as CMM and CMMI, while its security content is heavily influenced by software security models such as BSIMM (Building Security In Maturity Model) and OWASP SAMM (Software Assurance Maturity Model). The DevSecOps lens emerged later, as Agile, cloud, infrastructure as code, and CI/CD made traditional end-of-cycle security reviews too slow and too late.

The framework became widely known because technology organizations needed a way to balance two competing pressures: release faster and reduce risk. As DevOps spread across enterprises, security leaders needed a practical tool to assess current-state capability, compare teams, and define a staged improvement roadmap.

3. How DevSecOps Maturity Model Works

There is no single universal version of the DevSecOps Maturity Model, but most variants share the same core logic. They assess several capability domains, describe what increasing maturity looks like in each domain, and then score the organization against those descriptions. The output is typically a heat map, scorecard, or roadmap rather than a single magic number.

Most models are staged. The labels vary, but they often resemble a progression from ad hoc and manual practices to standardized, automated, measured, and continuously improved practices. The key idea is not perfection. It is understanding what capabilities are appropriate for the organization’s risk profile, delivery model, and regulatory context.

Typical maturity levels

Common capability domains

• Culture and governance: leadership expectations, policies, security champions, role clarity, and exception management.
• Secure development practices: threat modeling, secure coding standards, peer review, and developer training.
• Toolchain and automation: integration of SAST, DAST, SCA, secrets scanning, container scanning, and infrastructure-as-code checks into CI/CD.
• Release and deployment controls: policy gates, artifact integrity, approvals, segregation of duties, and release traceability.
• Runtime and operations: monitoring, logging, vulnerability remediation, incident response, and cloud posture management.
• Measurement and improvement: coverage, defect trends, mean time to remediate, control effectiveness, and audit evidence.

The model works best when evidence is used to support each rating. That means reviewing repositories, pipelines, tickets, policies, dashboards, and interview findings rather than relying only on self-assessment. A credible result is less about where a team says it is and more about what it can demonstrate consistently.

4. When to Use DevSecOps Maturity Model

This framework is most useful when an organization needs a fact-based view of its software delivery and security capabilities across teams. It is especially valuable for cloud-native companies, enterprises modernizing legacy delivery, regulated businesses facing audit pressure, and firms trying to scale engineering without scaling operational risk at the same rate.

It is especially powerful when leaders are coordinating several linked cloud and DevOps initiatives and need one integrated roadmap instead of a disconnected set of tooling decisions. Typical sponsors are the CIO, CTO, CISO, head of engineering, or platform leader.

To use it meaningfully, teams usually need at least a minimum data set: an application inventory, pipeline architecture, tooling landscape, policy documents, defect and incident data, and interviews with engineering, security, operations, and compliance stakeholders. A light assessment can be done in a few weeks; a rigorous enterprise-wide assessment often takes four to ten weeks, depending on the number of products and environments involved.

• Especially powerful when: the organization has multiple product teams, inconsistent practices, rising release complexity, or a need to show measurable improvement to senior leadership or regulators.
• Not a good fit when: the company is so small that a formal maturity model adds more bureaucracy than value. In those cases, a lightweight controls checklist and a simple engineering backlog may be better.
• Can mislead when: teams treat maturity as a score-chasing exercise. A higher maturity level is not automatically better if the controls do not match business risk or development speed.
• Assumptions that must hold: the units being assessed are comparable, the evidence is reasonably reliable, and leadership is prepared to act on the findings.

Modern practitioners use the model differently than many early adopters did. Today, the best assessments are less focused on generic stage labels and more focused on control effectiveness, developer experience, software supply chain risk, and alignment with frameworks such as OWASP SAMM, NIST SSDF, and related secure-by-design practices.

5. How to Apply DevSecOps Maturity Model: Step-by-Step

1. Clarify the decision and scope. Start by defining what the assessment is meant to support: a transformation roadmap, audit readiness, platform redesign, tool rationalization, or post-incident improvement. Set the time horizon and determine whether the scope covers one product line, one platform, or the full enterprise software estate.

2. Define the units of analysis. Decide what will actually be assessed. Common units include application teams, business-critical products, engineering value streams, or pipeline patterns. This matters because maturity scores become meaningless if one team runs a simple internal app and another runs a regulated customer-facing platform.

3. Choose the capability domains and maturity criteria. Tailor the model to the organization. Select the domains that matter most, define what each maturity level means, and make the criteria observable. Good criteria describe evidence, not aspirations.

4. Gather the required inputs and evidence. Use interviews, workshops, repository reviews, pipeline inspections, policy analysis, tool configuration checks, and sample ticket audits. Where possible, collect artifacts directly from systems rather than relying only on slideware or surveys.

5. Construct the assessment artifact. Build a scorecard or heat map showing each unit of analysis against each capability domain. Note both maturity level and confidence level. A team may look mature on paper but have weak evidence, which is important to surface explicitly.

6. Analyze the gaps and patterns. Look for recurring weaknesses across teams: late-stage testing, open-source dependency sprawl, unmanaged secrets, inconsistent IaC scanning, or weak production feedback loops. The point is to find system issues, not to shame individual teams.

7. Translate insights into actions. Convert the assessment into a prioritized roadmap with owners, milestones, and sequencing. For many organizations, that roadmap becomes a broader DevOps transformation program with common pipeline templates, platform engineering, and team-level coaching.

8. Test sensitivities and alternative assumptions. Recheck the conclusions using different risk assumptions, criticality tiers, or maturity definitions. A customer-facing payments platform should not be held to the same standard as an internal reporting tool.

9. Align stakeholders and iterate. Review the findings with engineering, security, compliance, and product leaders. Resolve disagreements, refine the evidence, and agree on what will change first. The best maturity models are living management tools, not one-time assessments.

6. Example: DevSecOps Maturity Model in Action

The situation

A fictional $650 million B2B SaaS company was moving upmarket into financial-services customers. Its engineering teams released code several times per week, but security reviews still happened largely at the end of the cycle. Audit requests were increasing, developers complained about surprise findings late in release, and the CISO could not explain clearly which teams were secure by design and which were not.

Why the framework was selected

The company did not need another abstract security strategy deck. It needed a current-state baseline across twelve product teams, a common definition of good practice, and a roadmap that balanced speed, risk, and engineering effort. A DevSecOps Maturity Model was selected because it could compare teams consistently while still reflecting differences in application criticality.

How it was applied

The team assessed six domains: governance, secure coding, pipeline automation, open-source controls, cloud deployment controls, and runtime monitoring. Evidence came from repository sampling, CI/CD configuration reviews, interviews with engineering managers, audit artifacts, and incident postmortems. Each team was rated on a five-level scale, with confidence notes attached to each score.

What the company learned

The assessment showed that release automation was relatively mature, but security integration was uneven. Two teams had strong automated scanning and policy checks, while most others relied on manual approvals. Open-source governance was weak, secrets management varied by squad, and production telemetry was not feeding back into developer workflows. These findings triggered a wider cybersecurity program focused on software delivery controls rather than perimeter tooling alone.

What happened next

The company launched a staged roadmap: standard CI/CD templates, mandatory secret scanning, risk-tiered SCA and IaC controls, a security-champions network, and common reporting on remediation times. Within two quarters, release delays caused by late security findings fell materially, and the firm could show enterprise customers a much clearer secure-development story.

7. Strengths and Limitations

Strengths

• Creates a shared language: engineering, security, and executives can discuss current state and target state without getting lost in tool detail.
• Makes gaps visible: it highlights where practices are inconsistent across teams, products, or environments.
• Supports prioritization: it helps distinguish foundational issues from advanced optimizations.
• Links risk to delivery: it is well suited to environments where speed and control must improve together.
• Works well for transformation planning: consultants and executives can use it to sequence investments, governance changes, and platform improvements.

Limitations

• Not a universal standard: because there is no single authoritative version, model design choices can shape the outcome.
• Can oversimplify: a maturity label may hide important nuance about application criticality or actual exploitability.
• Often depends on judgment: unless criteria are evidence-based, scoring can become subjective.
• May reward form over substance: teams can appear mature because they have tools, even if those tools are poorly tuned or widely bypassed.
• Does not solve execution: the model identifies gaps, but it does not automatically deliver new operating practices, controls, or behavior change.

8. Common Pitfalls and How to Avoid Them

• Scoring teams that are not comparable. If one team runs a safety-critical platform and another runs an internal utility, direct comparison can distort conclusions. Define risk tiers first and assess like with like.
• Using vague maturity definitions. Terms such as “good automation” or “strong governance” invite debate and politics. Write criteria in observable language tied to evidence.
• Confusing tool adoption with maturity. Buying scanners is not the same as integrating them into developer workflows. Measure usage, tuning, remediation, and decision quality, not just tool presence.
• Relying only on self-assessment. Teams usually overestimate consistency. Validate claims with repo samples, pipeline configurations, tickets, and operating data.
• Treating the model as a report card. When people fear being ranked, they defend scores instead of solving problems. Position the exercise as a roadmap tool, not a blame exercise.
• Stopping at the assessment. Many organizations produce a heat map and then move on. Tie every major finding to concrete initiatives, owners, funding, and review cadence.
• Ignoring developer experience. Controls that create friction without reducing risk will be bypassed. Design improvements that are automated, well integrated, and proportionate to risk.

9. How DevSecOps Maturity Model Relates to Other Frameworks

Compared with OWASP SAMM

OWASP SAMM is a specific, well-defined software security maturity framework with detailed practices and streams. A DevSecOps Maturity Model is often broader and more transformation-oriented, with more emphasis on CI/CD, cloud controls, and operational integration. If a team wants detailed software assurance practice design, SAMM is often the better deep-dive tool; if it wants an executive-level transformation baseline, the DevSecOps model can be more practical.

Compared with BSIMM

BSIMM is based on observed practices across many organizations and is especially useful for benchmarking. A DevSecOps Maturity Model is usually more prescriptive and tailored to the company’s target operating model. In practice, BSIMM can inform what “good” looks like, while the maturity model helps translate that into a roadmap.

Alongside NIST SSDF and software supply chain frameworks

NIST SSDF defines secure software development practices that organizations should have in place. The maturity model, by contrast, helps assess how consistently those practices are operationalized. The same is true for supply-chain-oriented frameworks such as SLSA: they specify important controls, while the maturity model shows how far the organization has progressed in implementing them.

Alongside DORA metrics

DORA metrics measure delivery performance such as deployment frequency, lead time, and recovery performance. They do not tell you whether the software delivery system is secure by design. Used together, DORA reveals speed and reliability outcomes, while a DevSecOps Maturity Model explains whether the underlying engineering system has the controls to sustain those outcomes safely.

10. Key Takeaways

• DevSecOps Maturity Model is a practical way to assess how deeply security is embedded in modern software delivery.
• It is not one single universal framework; most versions combine capability domains with staged maturity levels.
• It is most useful when leaders need a baseline, a common language, and a prioritized improvement roadmap across teams.
• Its value depends on evidence-based scoring, clear scope, and risk-aware interpretation.
• Its biggest limitation is false confidence: a maturity score is only helpful if it leads to better controls and better delivery outcomes.

11. FAQs About DevSecOps Maturity Model

Is DevSecOps Maturity Model still relevant today?

Yes. It remains useful because most organizations still struggle to integrate security consistently into fast software delivery. What has changed is the emphasis: modern teams use it less as a generic scorecard and more as a risk-based roadmap tied to developer workflows, cloud controls, and supply chain security.

What is the difference between DevSecOps Maturity Model and OWASP SAMM?

OWASP SAMM is a specific, structured framework for software assurance practices. DevSecOps Maturity Model is a broader label for maturity assessments focused on integrating security into development and operations. SAMM is often more detailed; the DevSecOps model is often more executive-friendly and transformation-oriented.

Can small or early-stage companies use it?

Yes, but they should use a lightweight version. A small company rarely needs a large scoring exercise; it usually needs a short review of core practices such as access control, secrets handling, dependency management, pipeline checks, and incident readiness. Keep the model simple and tied to actual business risk.

How long does it typically take to apply it in a real project?

A focused assessment for one product or platform can take two to four weeks. A multi-team enterprise assessment typically takes four to ten weeks, depending on the number of applications, stakeholders, environments, and evidence sources involved.

What data is needed to use it?

At minimum, you need an application and pipeline inventory, a view of the toolchain, relevant policies, and interviews with engineering and security leaders. The analysis becomes much stronger when you add repository samples, scan results, exception logs, incident data, and remediation metrics.