Secure Delivery, Built
Into the Pipeline.
CI/CD designed around how your teams actually ship, with security controls running at every stage instead of one review before release. Built by an Atlassian Platinum Solution Partner whose day job is regulated delivery.
Every Product in the Atlassian Delivery Stack
Six Pieces of a Secure Delivery Practice
Scoped individually or run as one programme. We start from how your teams ship today, not from a reference architecture.
CI/CD Pipeline Design & AutomationPipelines built around your branching model and release cadence, so the pipeline stops being the thing engineers work around.
- Branching & environment strategy
- Reproducible build stages
- Pipeline-as-code, version controlled
Security Across the SDLCSAST, DAST, dependency and secrets scanning wired into the stages where a developer can still act on the finding cheaply.
- SAST & DAST in the pipeline
- Dependency and secrets scanning
- Findings routed as Jira issues
Bitbucket, GitLab, GitHub & Azure DevOpsWe work in the SCM and CI you already run. Where a move makes sense we do it as a migration, not a rebuild from zero.
- Repo, permission & policy migration
- Runner and agent architecture
- Parallel-run validation before cutover
Release & Deployment AutomationDeployments that are boring: repeatable, observable, and reversible without a call to the one person who remembers how.
- Progressive and staged rollouts
- Automated rollback paths
- Deployment records tied to changes
Compliance & Audit-Ready PipelinesControls that emit their own evidence, so an audit is a query against what the pipeline already recorded rather than a project.
- Approval gates and change control
- SBOM and scan results per build
- Evidence mapped to your control set
Toolchain Integration & OrchestrationThe connective work that decides whether a toolchain is a system or eight tools with a shared login page.
- Scanner findings into Jira workflows
- Enterprise system integrations
- One source of truth for status
Scaling Secure Delivery Across the Organization
Wherever you are in the journey, the shape of the work is the same: Jira in the middle holding the record of what changed and why, with the rest of the toolchain hanging off it.
We start from the stage that hurts, not from the diagram. One team gets a hardened pipeline first, then the pattern spreads - same controls, same evidence, same place to look when something breaks.
Comprehensive DevSecOps Capabilities
Six disciplines that turn security from a checklist review into controls that run continuously - from the first commit to the workload already in production.
- Application Security Testing
Static and dynamic analysis (SAST/DAST) wired into CI/CD to catch vulnerabilities while a developer can still fix them cheaply, not after release.
- Secure Code Development
Integrated tooling and real-time feedback that teach secure patterns at the point of writing code, cutting security debt before it accrues.
- Container Security Assurance
Image scanning, enforced security policies and runtime monitoring across every containerized workload, from registry to cluster.
- Cloud Security Protection
Continuous monitoring and hardened controls for cloud-native apps and infrastructure across public, private and hybrid environments.
- Infrastructure as Code Security
Automated validation of Terraform and CloudFormation templates catches misconfigurations before anything is ever provisioned.
- Compliance and Policy Enforcement
Automated checks and continuous monitoring against standards like GDPR, HIPAA and ISO 27001, so adherence is verified rather than assumed.
Your DevSecOps Stack
The tools already doing this work at most organizations we meet. We wire them into one toolchain instead of asking you to replace what already runs.
- Bitbucket
- Bamboo
- Jenkins
- SonarQube
- Snyk
- JFrog Artifactory
- AWS CodeBuild
- Docker
- Kubernetes
- GitLab
The Ones We Always Get Asked
What is the difference between DevOps and DevSecOps?
DevOps joins development and operations so software ships continuously. DevSecOps extends that by making security a shared responsibility instead of a separate activity performed before production - automated testing, compliance checks and monitoring run throughout the lifecycle rather than at the end. In practice the difference shows up in one place: whether a developer finds out about a vulnerability on their pull request or three weeks later.
Do we have to replace our CI tool?
Usually not. We work in the SCM and CI you already run - Bitbucket, GitHub, GitLab or Azure DevOps - because a toolchain rebuild is the most expensive way to solve a problem that is normally about configuration and integration. Where a move genuinely is the right answer, we scope it as a migration with parallel running and validation against real builds, not a rebuild from zero.
We already run SonarQube and Snyk. What do you add?
Wiring, placement and evidence. Most teams we meet own good scanners that run in the wrong stage, at the wrong severity threshold, with findings landing somewhere nobody triages. We put the scan where a developer can still act on it cheaply, route the finding into a Jira workflow with an owner, and make the result an artefact you can hand an auditor.
What actually makes a pipeline audit-ready?
Evidence that the pipeline produces on its own. A control with no artefact cannot be audited, which is where most pipelines fail their first review - the control exists, but proving it ran means reconstructing history by hand. We design each stage to emit its own record: SBOMs per build, scan results per candidate, approval trails per release, deployment records with a rollback point.
Can you work with GitHub or GitLab instead of Bitbucket?
Yes, and we frequently do. Atlassian is where our depth is, and it is a strong workflow and collaboration foundation - but it is not a requirement. Bitbucket, GitHub, GitLab and Azure DevOps all appear in our engagements, often more than one inside the same organisation, and the integration work is what makes that survivable.
How long does an engagement take?
It depends on how much of the toolchain is in scope, and we scope and price before build starts so the timeline is fixed at kickoff rather than discovered halfway through. A single pipeline hardened is a much shorter engagement than a multi-team toolchain consolidation. We will tell you which one you are asking for after the assessment, not before it.
Can this run on Atlassian Government Cloud?
Yes. Public-sector delivery is a core practice for us, not a side line - our federal and state work is where the least-privilege, audit-trail and configuration-baseline defaults on this page come from. Pipelines can be designed to sit on Atlassian Government Cloud where the mission requires it.
Pipelines We Already Work In
Delivery engagements where the toolchain, the permissions and the release path were ours to get right - in the clients’ own words.
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