DevSecOps consulting: secure the pipeline, not just what flows through it.
Scanners find problems in your code; attackers go after the system that builds and ships it. We harden that system — CI/CD identity and supply chain, policy as code, cloud security posture — in pull requests your team reviews and owns.
Key takeaways
- The pipeline is an attack surface, not only a place to run scanners: it holds cloud credentials, runs third-party code and publishes what production deploys.
- Identity comes first — short-lived, federated credentials in CI remove the secret most worth stealing before any new tool is added.
- A gate policy beats a scanner count: a short, written list of what blocks a merge, what only warns, and how exceptions are granted.
- Everything ships as code your team owns — policies with tests, runbooks and an evidence trail, not a PDF of findings.
What is DevSecOps consulting?
DevSecOps consulting is outside engineering help to build security into how software is delivered: hardening the CI/CD pipeline and its credentials, securing the software supply chain with pinned dependencies, SBOMs and signed provenance, encoding the rules as policy as code, and keeping cloud security posture in check. It is delivered as code and runbooks your team owns, not as a report.
If you want the concepts first — shift left, SAST and SCA, why SBOMs matter — start with what DevSecOps is. This page is about getting it running in your pipelines.
Your pipeline is the most privileged system you run.
Think about what CI can do on an ordinary Tuesday: read every repository, hold keys to your cloud accounts, execute code written by strangers in the form of actions, plugins and build scripts, and publish the artifact production will run. Few human accounts have that reach, and few are reviewed less.
Attackers noticed. The SolarWinds compromise (2020) planted a backdoor inside a build system, so it shipped in signed updates. The Codecov incident (2021) altered an uploader script that customer pipelines downloaded, and it quietly sent their environment variables away. In March 2025 the popular tj-actions/changed-files action was compromised and printed CI secrets into workflow logs; CISA's advice was to rotate every exposed secret.
Most DevSecOps offers stop at adding scanners to that pipeline. The scanners are useful, but they leave the pipeline's own identity, dependencies and outputs untouched, and they produce findings faster than anyone triages them. AI-assisted coding widened the gap: more code, more dependencies nobody chose deliberately, as we laid out in vibe coding and the security-debt bubble. The OWASP Top 10 CI/CD Security Risks is the map we audit against; NIST SP 800-204D is the reference for what good looks like.
Six deliverables, each one in writing.
Pick the ones you need. Most teams start with the first two.
Pipeline threat model
Every path to production mapped: who can change it, what credentials it holds, which third-party code it runs.
- Findings ranked against the OWASP CI/CD risks
- Dependency and secret scan across Git history
- Branch protection and two-person review gaps
CI/CD identity and secrets
The keys most worth stealing, removed. Pipelines get short-lived credentials scoped to the job.
- OIDC federation to AWS, Azure and GCP
- Read-only job tokens by default
- Ephemeral, isolated runners; secrets in a manager
Build integrity
Proof of what went into each artifact and where it was built, checked before anything deploys.
- Third-party actions pinned to commit SHAs
- An SBOM on every build, CycloneDX or SPDX
- Signed images and SLSA build provenance
Scanning people act on
SAST, SCA, secret, IaC and container scanning tuned until the signal is worth reading.
- A written policy for what blocks and what warns
- Findings routed to the owning team's backlog
- A baseline, so old debt never blocks new work
Policy as code
Hard rules written once, tested like code and enforced at plan time and admission time.
- OPA checks on every Terraform plan
- Kyverno (or Gatekeeper with Ratify): signed images only
- Pod Security Standards enforced per namespace
Cloud security posture
Accounts measured against a baseline continuously, with drift caught in code before it is applied.
- CIS Benchmark baselines per account
- Native posture services or the platform you own
- Evidence mapped to SOC 2, PCI-DSS or HIPAA
Which findings should block a merge?
Very few, and they should be written down. A gate that blocks on everything gets bypassed; a gate that blocks on nothing is a dashboard. This is the starting policy we tune with each team:
| Finding | Once enforced | Why |
|---|---|---|
| Secret in a commit | Blocks, then rotate | High confidence, and every minute it stays live is exposure |
| Critical CVE with a fix available | Blocks new introductions | Existing debt goes to the baseline and the backlog, not the merge queue |
| IaC breaking a written policy | Blocks | Public storage or an open admin port is cheaper to stop than to find later |
| Unsigned image or missing provenance | Blocks at admission in production | Warns in development, so teams fix the pipeline, not the policy |
| SAST medium and low | Warns in the pull request | Useful context; too noisy to stop a release |
Every blocking rule ships with an exception path: who can grant one, for how long, and where it is recorded. That record is also what an auditor asks for.
Read first, then harden.
- 01
Audit
We read pipeline configs, CI permissions, cloud IAM and your open findings before we change anything, then rank the fixes by risk removed per week of effort.
week 1: read-only access, threat model, ranked findings - 02
Harden
Paired delivery with your engineers: identity first, then supply chain, then gates. Every check starts warn-only and becomes blocking once it is accurate.
from week 2: pull requests your team reviews, one repository at a time - 03
Hand over
Runbooks, the gate policy and the exception process are deliverables, not extras. Your team runs the loop; we stay on only if you ask.
exit: runbooks, policy repository, evidence pack
| access | read-only first; NDA from day one |
|---|---|
| engagement models | strategic advisory · project delivery · managed devops & sre |
| what you get in writing | threat model, gate policy, policy repository with tests, runbooks, control evidence |
| if the pipeline needs rebuilding | a CI/CD rebuild typically runs 4–6 weeks, with security built in rather than added after |
Vendor-neutral, on purpose.
We start from what you already own and add open-source tooling only where there is a gap.
When to hire consultants and when to build in-house
It depends on whether the work is a project or a function. Designing and building the controls is a project with an end. Owning them afterwards is a function, and it belongs to your team.
| DevSecOps consulting | In-house hire | |
|---|---|---|
| Time to start | Days to weeks | Months of hiring, plus ramp-up |
| Cost shape | Fixed scope, defined end | Permanent payroll |
| Breadth | Patterns from many pipelines | Deep context on yours, over time |
| Fits best when | Controls need building before a deadline | Built controls need a permanent owner |
Teams usually call us at one of these moments:
- An enterprise security questionnaire asks for SBOMs and signed builds, and the honest answer is no.
- CI holds a long-lived cloud admin key that nobody wants to rotate.
- The scanner dashboard is full and nobody opens it.
- An auditor asked who approved last Tuesday's production change.
- Assistants now write a growing share of the code, and review has not kept up.
The cost math for both models is in managed DevOps vs in-house. For regulated teams, DevOps for fintech covers RBI and PCI-DSS change control, and DevOps for healthcare covers HIPAA audit trails.
Careful change, measured.
Stats reflect outcomes from InfraZen client engagements across DevOps, SRE and cloud cost work. See case studies →
Production incidents under PCI-DSS
Read-only first, then every change with evidence, a rollback plan and a signed-off change window. The bill fell 47% in six weeks.
Read the engagement →GitOps consulting
Pull-based delivery takes cluster credentials out of CI entirely, and makes every production change a reviewed commit.
Read the GitOps service →Common questions.
What is DevSecOps consulting?
DevSecOps consulting is outside engineering help to build security into how software is delivered: hardening the CI/CD pipeline and its credentials, securing the software supply chain with pinned dependencies, SBOMs and signed provenance, encoding the rules as policy as code, and keeping cloud security posture in check. It is delivered as code and runbooks your team owns, not as a report.
How is securing the pipeline different from adding security scanners?
Scanners inspect what flows through the pipeline; pipeline security protects the pipeline itself. CI systems hold cloud credentials, run third-party code and publish what production deploys, which makes them a target in their own right, as the 2025 tj-actions/changed-files compromise showed. We remove long-lived keys, pin third-party actions to commit SHAs, isolate runners and sign what the build produces.
Will security gates slow down our releases?
Not if they arrive in the right order. Every check starts in warn-only mode so teams see findings on their own code first. Only high-confidence, high-severity classes such as leaked secrets or unsigned images become blocking, and every block has a documented exception path. Fast, accurate feedback in the pull request is what keeps delivery speed intact.
Do we need to buy new security tools?
Usually not. Most teams already own more scanning than they act on: the security features of GitHub or GitLab, a cloud provider's native posture service, sometimes a commercial platform. We tune and connect what you have, add open-source tooling such as Trivy, Syft, Sigstore, OPA or Kyverno where there is a real gap, and write down the rationale for every choice.
Should we hire a DevSecOps engineer or bring in consultants?
Hire when a working pipeline and platform need a permanent owner. Bring in consultants when the controls need designing and building quickly, when an auditor or an enterprise customer has set a deadline, or when you want patterns from many estates before committing to tools. Many teams do both: we build and document the controls, then hand them to the engineer you hire.
What does DevSecOps consulting cost?
Market ranges, not our price list: senior-led boutiques run $8K to $30K per month on retainer, independents quote $40 to $100 per hour from India and $120 to $250 in the US and Western Europe, and global integrators bill $150 to $400 per hour blended. DevSecOps hardening is usually scoped as a fixed-price project after the read-only audit. The full breakdown is on our DevOps consulting rates page.
$ infrazen book --review
Find the weak link before someone else does.
A free 30-minute DevSecOps review. We’ll look at how code reaches production and what your pipeline can touch, and tell you honestly which week of work removes the most risk.