DevSecOps & Automation
Pipeline-native security — infrastructure as code, scanning that runs before merge, and policy enforced automatically, so shipping quickly and shipping safely stop being a trade-off.
Discuss This ServiceSecurity that depends on a review meeting is security that gets skipped under deadline. The controls that survive contact with a shipping team are the ones running inside the pipeline, where they cost seconds rather than sprints.
Security as a gate, or as a guardrail
When security review is a stage at the end of delivery, it becomes an obstacle to route around. Findings arrive after the architecture is set, fixes are expensive, and the pressure to ship wins — which is the rational response to a badly designed process.
Moving those checks into the pipeline changes the economics. A misconfiguration caught in a pull request costs a few minutes. The same misconfiguration found in production costs an incident, and possibly a disclosure.
What's Included
Pipeline hardening
Build systems secured against the supply-chain attacks that target them — scoped credentials, signed artefacts, and isolated runners.
Infrastructure as code
Environments defined in code and version controlled, so infrastructure changes get the same review, history, and rollback as application changes.
Policy as code
Guardrails enforced automatically at deploy time, so non-compliant infrastructure cannot reach production regardless of who is on call.
Scanning in the pipeline
Dependency, secret, container, and IaC scanning integrated at the pull request, tuned hard against false positives so developers keep trusting the output.
Secrets management
Credentials moved out of code and configuration into a managed store, with rotation that happens on schedule rather than after an incident.
Developer enablement
Short, practical training on the specific issues showing up in your codebase, so the same class of finding stops recurring.
Common Questions
Not covered here? Ask us directly — you'll get a straight answer from someone who does the work.
Ask a QuestionWill this slow down our releases?
Done well it speeds them up, because issues surface while the context is fresh instead of during a pre-release review. We budget a scanning stage in seconds, not minutes, and tune aggressively against noise.
Our developers resist security tooling. Now what?
Usually with good reason — most tooling is noisy. We tune for signal before rolling anything out broadly, and start with checks that fail only on genuine, actionable problems. Trust in the tool is the whole game.
Which platforms do you support?
GitHub Actions, GitLab CI, Azure DevOps, and Jenkins, with Terraform, OpenTofu, Pulumi, CloudFormation, and Bicep on the infrastructure side.
Find Out What's Exposed Before Someone Else Does
Start with an assessment of your cloud environment. You get a prioritised findings report and a remediation plan you can act on — with us or without us.