GitHub Actions & GitLab CI
Native YAML workflow integration for SAST, SCA, secrets detection and container scanning within GitHub Actions and GitLab CI/CD pipelines, with security gate enforcement on merge requests.
Your engineering team ships fast. CipherTrivia's DevSecOps services make sure they ship secure. We embed SAST, DAST, SCA, container scanning, IaC review and secrets detection directly into your CI/CD pipelines, so vulnerabilities are caught in the pull request, not in production.
// What's Included
DevSecOps is not a single tool or a one-time engagement. It is a set of practices, tooling integrations and organizational habits that make security a continuous, automated part of how your team builds and ships software. Our DevSecOps services cover the full scope: from assessing what your pipeline currently lacks, through tool selection and integration, to tuning, documentation and team training.
// Scope
Our DevSecOps services integrate into the pipeline platforms and infrastructure tooling your engineering team already uses. Whether you run a single GitHub Actions workflow or a multi-cluster GitOps deployment, we configure security gates that fit your existing delivery process.
Native YAML workflow integration for SAST, SCA, secrets detection and container scanning within GitHub Actions and GitLab CI/CD pipelines, with security gate enforcement on merge requests.
Pipeline-as-code security stage configuration for Jenkins (Declarative and Scripted) and Azure DevOps Pipelines, including shared library modules and task group templates for reuse across repositories.
Image scanning at build time and admission control at deploy time. We integrate Trivy, Grype or Snyk Container into your image build stages and configure OPA/Gatekeeper policies for Kubernetes clusters.
Infrastructure as Code scanning with tfsec, Checkov or cfn-nag to catch security misconfigurations, overly broad IAM policies, unencrypted storage and non-compliant resource definitions before they are applied.
Security policy enforcement within GitOps delivery workflows. We configure pre-sync hooks and admission controllers so that only scanned, signed and policy-compliant manifests are reconciled to your clusters.
For teams with bespoke build systems, multi-cloud deployments or legacy CI infrastructure, we design custom security integrations using CLI-based scanners, API-driven orchestration and webhook-triggered gates.
// What We Find
Most organizations have CI/CD pipelines that build and deploy without a single automated security check. These are the six categories of risk we see most often when we audit a pipeline for the first time, and what happens when they go unaddressed.
Gap 01 / 06
Without SAST integrated into the pipeline, every commit that passes code review and unit tests goes directly to production without any automated check for SQL injection, command injection, path traversal or insecure deserialization patterns. Code review catches logic and style issues; it does not systematically catch security flaws across every file in every pull request. SAST automation closes this gap by scanning every diff against known vulnerability patterns before merge is allowed.
What we configure
Incremental SAST scans on every pull request with severity-based gating: critical and high findings block merge; medium findings generate developer-facing annotations with remediation guidance.
Most modern applications depend on hundreds of third-party packages, and new CVEs are published daily. Without Software Composition Analysis in the pipeline, a vulnerable version of a library added in a single dependency update can ship to production unnoticed. The risk compounds: transitive dependencies (dependencies of your dependencies) frequently carry known vulnerabilities that never appear in a manual review of your package.json or requirements.txt.
What we configure
SCA scans on every build with CVSS threshold gating, license compliance checks, and automated PR comments that link directly to the advisory and the recommended version upgrade.
Container images built from unvetted base images or outdated runtime packages carry known CVEs into every environment they are deployed to. A single vulnerable libssl or libc version in a base image propagates across every service that inherits from it. Without image scanning at build time and admission control at deploy time, these vulnerabilities reach production clusters silently and persist indefinitely because no one is checking the image after it is built.
What we configure
Image scanning at build (Trivy, Grype or Snyk Container), base image policy enforcement, and Kubernetes admission control that rejects unscanned or non-compliant images at deploy time.
Database passwords, API keys, cloud credentials and private certificates committed to version control remain in git history permanently, even if deleted in a subsequent commit. A single leaked AWS access key or database connection string gives an attacker direct access to production infrastructure. This is not a theoretical risk: credential leaks from public and private repositories are one of the most common initial access vectors in real-world breaches.
What we configure
Pre-commit hooks (Gitleaks, TruffleHog) to block secrets before they reach the remote, pipeline-level scanning as a second gate, and vault-based secret injection so credentials never need to be in code or config files.
Terraform modules, CloudFormation templates and Kubernetes manifests define your production infrastructure. A single misconfiguration (a public S3 bucket, an overly permissive security group, an unencrypted RDS instance, a Kubernetes pod running as root) can expose customer data or provide an attacker with lateral movement once they gain initial access. These misconfigurations are invisible in application-level testing because they exist in the infrastructure layer, not the code layer.
What we configure
IaC scanning with tfsec, Checkov or cfn-nag on every pull request that modifies infrastructure definitions, with policy-as-code rules mapped to CIS Benchmarks and your organization's security baseline.
Even when security tools are present in a pipeline, they are frequently configured in "informational" mode: scans run, results are logged, but the build is never actually blocked. This means the pipeline reports vulnerabilities but still deploys the vulnerable artifact. Without enforced security gates with clear severity thresholds and break-the-build policies, scan results become noise that developers learn to ignore, and the entire investment in security tooling produces no measurable risk reduction.
What we configure
Enforced quality gates at each pipeline stage with documented severity thresholds, exception/waiver workflows for accepted risk, and dashboards that track gate pass/fail rates over time.
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Avg. security gates per pipeline
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False-positive reduction after tuning
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Avg. incremental SAST scan time
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Security tool categories integrated
// Methodology
Four to eight weeks depending on pipeline count. Each phase produces a tangible output your team keeps.
#!/bin/bash — devsecops-engagement
$ audit --pipelines --secrets --artifacts
→ 8 pipelines mapped. 3 lack any security gate.
✓ Gap analysis delivered — Week 1
$ design-gates --sast --sca --container --iac
→ 4 gates designed. Tool matrix: Semgrep + Trivy + Gitleaks.
✓ Gate blueprint signed off — Week 2
$ integrate --pipeline-as-code --commit-to-repo
→ 8/8 pipelines instrumented. 142 initial findings.
✓ All tools live — Week 3–4
$ tune --suppress-fp --custom-rules --thresholds
→ 142 → 21 actionable findings. 85% noise removed.
✓ Triage workflow live — Week 5–6
$ handoff --runbook --enablement --team-training
→ Runbook delivered. Team trained. Pipeline owned by eng.
✓ Engagement complete — Week 7
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We map every CI/CD pipeline, build configuration, artifact repository and deployment target. We inventory existing security tooling, review secrets management, and assess how build artifacts are produced, signed and stored. The output is a gap analysis with a prioritized integration roadmap.
We design security gates for each pipeline stage (commit, build, image, deploy) and select the tools that fit your stack, budget and team size. Open-source (Semgrep, Trivy, Gitleaks, Checkov) and commercial (Snyk, SonarQube, Checkmarx) options are evaluated against your requirements.
SAST and SCA on pull requests, container scanning on image builds, IaC scanning on infrastructure changes, secrets detection as pre-commit hooks. Every integration is configured as pipeline-as-code (YAML, Jenkinsfile) and committed to your repository so your team owns it.
Initial scans always produce noise. We suppress known false positives, configure custom rules for your codebase and frameworks, set severity thresholds for security gates, and establish a triage workflow so developers handle findings independently.
A complete runbook documenting every tool, configuration, gate policy, triage workflow and escalation procedure. Plus a hands-on enablement session so your engineering and security teams maintain, extend and troubleshoot the pipeline security configuration independently.
// Deliverables
Every DevSecOps services engagement ends with working integrations committed to your repositories, not a slide deck. Here is exactly what your team receives.
A detailed assessment of your current CI/CD security posture: what tooling exists, where the gaps are, and a prioritized roadmap for closing them, with effort estimates and tool recommendations.
Working YAML, Jenkinsfile or pipeline definitions with SAST, SCA, container scanning, IaC checks and secrets detection integrated, committed directly to your repositories and ready for production use.
A formal policy defining severity thresholds for each gate, exception/waiver workflows, escalation procedures and SLA targets for finding remediation at each severity level.
Step-by-step documentation covering every tool configuration, triage workflow, false-positive suppression rule, and maintenance procedure so your team can operate the pipeline independently.
A hands-on workshop with your engineering and security teams covering how to read scan results, triage findings, manage exceptions, extend configurations to new repositories, and troubleshoot pipeline failures.
Five deliverables. Working code in your pipelines. A team that can maintain it.
Discuss your pipeline// Why CipherTrivia
A few things set how we deliver DevSecOps services apart from a tool vendor selling licenses or a consulting firm delivering a slide deck.
Our team writes and commits working pipeline configurations, not PowerPoint decks. Every integration is delivered as version-controlled code in your repository, tested in your actual CI/CD environment.
We recommend the tools that fit your pipeline, budget and team, whether open-source (Semgrep, Trivy, Gitleaks) or commercial (Snyk, SonarQube, Checkmarx). We do not resell tool licenses or take referral commissions.
Anyone can add a scanner to a pipeline. The hard part is tuning it so developers trust the results. We dedicate explicit time to false-positive reduction, custom rule configuration and triage workflow design.
Every engagement ends with documentation and a hands-on enablement session. The goal is for your team to own and evolve the DevSecOps configuration after we leave, not to create a recurring dependency on us.
// Proof of Work
DevSecOps · SaaS & Fintech
A payment processing SaaS company with 14 microservices across GitHub Actions and ArgoCD had no automated security scanning in their pipeline. We integrated SAST, SCA, container scanning and secrets detection across all repositories, configured severity-based security gates, and reduced initial false positives by 87% during a two-week tuning phase. The team now catches an average of 6 findings per sprint before code reaches staging.
View all case studies// FAQ
DevSecOps embeds security checks directly into the CI/CD pipeline so that every code commit, build and deployment is automatically scanned for vulnerabilities. Unlike traditional application security testing, which happens at a single point in time after development is complete, DevSecOps provides continuous, automated feedback to developers as they write code. The shift-left approach catches issues when they are cheapest to fix: during development, not after deployment.
We integrate security tooling into GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, Bitbucket Pipelines, CircleCI, ArgoCD, Flux and custom pipeline configurations. For infrastructure as code, we support Terraform, CloudFormation, Pulumi and Kubernetes manifests. The specific tool selection depends on your existing stack and security requirements.
Incremental SAST scans typically add 30 to 90 seconds per build. SCA checks run in under 15 seconds. Container scans complete in 20 to 60 seconds depending on image size. We tune scan scope, use caching, run independent scans in parallel stages, and configure incremental analysis (scanning only changed files) so that the security overhead stays within acceptable CI/CD cycle times. Full repository scans are reserved for scheduled nightly or weekly runs.
Initial tool integration always produces noise. We dedicate an explicit tuning phase (typically one to two weeks) to work through the first set of results with your team, suppress known false positives, configure custom rules for your codebase and frameworks, set severity thresholds for security gates, and document a triage process your team can follow independently. The result is a scanner configuration that your developers trust, which is the single most important factor in DevSecOps adoption.
Not necessarily. We assess your current tooling during the pipeline audit phase and integrate whatever is already effective. Where gaps exist (for example, no SCA scanner or no IaC scanning), we recommend and configure additional tools. Where existing tools are underperforming (high false-positive rates, poor pipeline integration), we evaluate whether tuning or replacement makes more sense. The goal is a cohesive, maintainable security toolchain that fits your pipeline, not a wholesale replacement.
Tell us about your CI/CD pipelines, infrastructure tooling and security requirements, and we will scope a DevSecOps services engagement that fits your engineering workflow and timeline.