DevSecOps and Secure CI/CD Consulting

Transform Your Development Pipeline! 

Most teams already own some security tools. The gaps are usually in coverage, ownership, and what happens to the findings. That is where we start.

Here’s how we can help:

• Maturity assessment. We assess your current practices against OWASP SAMM or the OWASP DevSecOps Maturity Model, covering tooling, process, and ownership. You get a scored baseline and a roadmap of what to improve first.
• Strategy and ownership. We define who owns each control, how findings are triaged, and which issues block a release. Security stops depending on one person remembering to check.
• Tooling selection and rollout. We choose tools that fit your stack, from open-source scanners to commercial platforms, and roll them out without flooding developers with noise. Every tool we add has an owner and a defined action for its findings.

The pipeline is part of your attack surface. Build runners hold deployment credentials, and a single compromised third-party action, as in the tj-actions/changed-files incident in 2025, can expose secrets across thousands of repositories. We secure both what the pipeline checks and the pipeline itself.

Find out how we secure your CI/CD pipeline here:

• CI/CD platform hardening. We pin third-party actions and plugins to commit hashes, restrict runner and token permissions, protect branches, and replace long-lived cloud keys with short-lived OIDC credentials. We use the OWASP Top 10 CI/CD Security Risks as the baseline.
• Pipeline design and automation. We design pipelines where security checks run automatically at the right stage: fast checks on every pull request, deeper scans before release. The same rules apply to every service and every team.
• Security testing in the pipeline. We integrate and tune the checks your codebase needs:
  • SAST (Static Application Security Testing) for code analysis.
  • DAST (Dynamic Application Security Testing) for runtime testing.
  • IAST (Interactive Application Security Testing) for hybrid analysis.
  • SCA (Software Composition Analysis) for vulnerable and outdated dependencies.
  • Container image scanning for vulnerable packages in base images.
• Security regression tests. Tests for authentication, authorization, and input handling run alongside your unit and integration tests. A fixed vulnerability stays fixed.
• Infrastructure as Code security. Terraform, CloudFormation, Helm charts, and Kubernetes manifests are scanned with tools such as Checkov or Trivy before they are applied. Misconfigurations are caught in the pull request, not in production.
• Secrets management. Credentials move into HashiCorp Vault, AWS Secrets Manager or Azure Key Vault; every commit is checked for leaked secrets, and anything already exposed in Git history is rotated.

Let’s strengthen your Human Firewall.

Here’s how we prepare your workforce:

• DevSecOps training. Hands-on sessions for developers and platform engineers on reading scanner results, fixing findings, and keeping the pipeline secure. Training uses your own stack and real findings from your codebase.
• Secure coding training. Developers learn to prevent injection, broken access control, insecure authentication, and misconfigurations, based on the OWASP Top 10 and examples in the languages they use every day.
• Threat modeling workshops. We run threat modeling sessions with your team for new features and architecture changes. Risks are discussed at the design stage, when they are cheapest to fix.

Attackers increasingly target dependencies and build systems instead of the application itself. We make every release traceable from source code to the running artifact.

• SBOM generation. Every build produces a software bill of materials in CycloneDX or SPDX format. When a new vulnerability is disclosed, you immediately see which products and versions contain the affected component.
• Artifact signing and provenance. Container images and build artifacts are signed with Sigstore Cosign, with build provenance aligned with the SLSA framework. Your clusters accept only artifacts built and signed by your pipeline.
• Dependency hygiene. Lockfiles, private package registries, and rules against typosquatted or newly published packages reduce the chance of a malicious dependency entering the build.
• Regulatory readiness. The same setup covers SBOM and vulnerability handling requirements under the EU Cyber Resilience Act and US federal software procurement.

Scanners produce findings. The value lies in triaging them, fixing what matters, and proving it was fixed.

• Embedded scanning. We integrate tools such as SonarQube, Snyk, or GitLab security scanners into your pipeline. Every pull request is checked for vulnerabilities in code, dependencies, and configurations, with results shown as review comments.
• Automated remediation. Dependabot or Renovate opens pull requests for vulnerable dependencies, and base images are rebuilt when patched versions come out. Fixes go through the same review and tests as any other change.
• Risk-based prioritization. Findings are deduplicated and ranked by severity, known exploitation in the CISA KEV catalog, EPSS score, and whether the vulnerable code is reachable in production. Each finding is tracked to closure with an owner, so critical issues don’t sink in a backlog of low-risk noise.

Containers, Kubernetes, and serverless functions add layers that application scanners don’t see. We cover them from build to runtime.

• Kubernetes and container security. We enforce Pod Security Standards, network policies, and admission rules for Kubernetes, and detect suspicious runtime behavior with tools such as Falco or Aqua Security. Workloads run with the minimum privileges they need.
• Cloud Security Posture Management. Platforms such as Wiz, Prisma Cloud, or Orca Security continuously check your cloud accounts for misconfigurations, exposed resources, and excessive permissions. Findings are mapped to CIS Benchmarks, NIST, and SOC 2 controls.
• Runtime detection and response. Runtime sensors and cloud audit logs raise alerts on suspicious activity in virtual machines, containers, and serverless functions. Response playbooks isolate affected workloads and preserve evidence for investigation.

Automated checks in the pipeline produce that evidence with every release.

Our customized approach includes:

• Policy as code. Rules written in Open Policy Agent, HashiCorp Sentinel, or AWS Config check infrastructure and deployments against SOC 2, HIPAA, and PCI DSS controls on every change. A non-compliant configuration fails the pipeline before it reaches production.
• Audit trail. Every deployment, approval, configuration change, and security finding is logged in Elastic Stack or Splunk. Your team can show auditors who changed what, when, and with whose approval.
• Governance policies. We write secure development, access control, and incident response policies that match how your teams actually work. Each policy is backed by a pipeline control, so it is enforced rather than just documented.

A secure pipeline needs ongoing attention as services, dependencies, and threats change.

• Security metrics. Dashboards in Grafana or Kibana track time to fix critical findings, scan coverage across repositories, and the share of builds passing policy gates. Leadership sees whether security is improving, not just how many findings exist.
• Regular reviews. We review scanner results, false-positive rates, and incident findings on a regular schedule and adjust rules and priorities. The pipeline adapts to new threats and regulations instead of drifting out of date.
• Threat detection and incident response. Alerts from Splunk, Elastic Security, or Microsoft Sentinel are correlated with pipeline and deployment events. After every incident, a blameless post-mortem turns findings into new pipeline controls.