We build security into the way your code ships. Pipelines scan, sign and check every release from commit to production, and infrastructure is defined in code, so it can be reviewed and rebuilt. Your teams keep their release pace.
What's included
6 capabilities, delivered by one squad. Use what you need now and add more as you grow.
Pipelines shared across teams, with branch rules, approvals and clear steps from test to production.
Automated scans of your code, open-source dependencies and running apps (SAST, SCA and DAST), with findings sent to the team that can fix them.
Careful secrets handling, regular rotation, least-privilege access and break-glass controls for emergencies.
Servers and networks defined in code and promoted between environments through Git, with alerts when anything drifts.
Automated policy checks and evidence collection, with clear activity records for regulated teams.
Pipeline health, deployment insights, security dashboards and alerts.
Our approach
The usual way
Security findings arrive after deployment and force emergency rollbacks.
How we do it
Security policies run inside the pipeline, with safe defaults and a logged route for approved exceptions.
The usual way
Secrets leak, environments drift and nobody trusts what is actually running.
How we do it
Infrastructure defined in code and rebuilt rather than patched by hand, with drift detection and repair, plus managed secrets that rotate regularly.
The usual way
Nobody can say where a build came from or which open-source packages are inside it.
How we do it
Every build is scanned, signed and listed in a software bill of materials (SBOM), then verified as it moves between environments.
Architecture
Each layer has a clear job, so the system is easier to secure, test and extend.
Branch rules, approvals, secrets checks and policy baselines for every commit and pull request.
Repeatable builds, automated scans and signed artifacts, so you know where every release came from.
Policies are enforced automatically before deploy, and releases move between environments and roll out in stages.
Security dashboards, pipeline health, activity records and evidence collection for compliance.
How we deliver
4 phases, each ending with an output you can review.
Assess how code moves to production today, where the biggest risks and control gaps are, and which fixes can be automated first.
Output: DevSecOps feasibility blueprint
Set up CI/CD, scanning, signing, secrets handling and safe promotion between environments.
Output: Secure delivery pipeline
Add automated policy checks, evidence collection, exception workflows and clear activity records.
Output: Safeguards and evidence system
Put security dashboards and pipeline targets into daily use, and keep tuning as more teams join.
Output: Fast releases with controls in place
Your team
Specialists join your squad for this work, alongside a delivery lead who keeps you updated.
Designs secure CI/CD, environment promotion, controls and release rules across teams.
Sets up automated policy checks and evidence collection, with clear records for audits.
Builds infrastructure as code, consistent environments, drift controls and GitOps delivery.
Owns pipeline health, security dashboards, change-risk signals and alerting.
Trust and control
Standards are enforced automatically, and every exception is logged.
Each person and service gets only the access it needs, secrets rotate regularly and every use is traceable.
Infrastructure changes are versioned, releases are traceable and audit evidence is captured automatically.
Pipeline and security insights show where risk is building before it reaches production.
You keep full ownership of the code, configuration and documentation we create, with no vendor lock-in.
We pick what fits your product and team, not the other way round.
Results
We replaced a fund manager's broad VPN access with zero-trust controls that check the user, device and location, and grant privileged access only when it is needed. They cover 100% of identities and cut lateral-movement risk by 99%.
We built AI network security for a global resort chain. It learns how devices normally behave on guest Wi-Fi and isolates suspicious ones automatically. It neutralised 99.9% of threats and detected them 2.5x faster.
We moved a global core banking system from an ageing mainframe to AWS one function at a time, keeping both ledgers in sync throughout. Operating costs fell 60%, releases became 5x faster, and there was zero service downtime.
A DevSecOps engagement covers four areas: a secure CI/CD pipeline with automated scans and signing, managed secrets and least-privilege access, infrastructure as code with drift detection, and automated policy checks that collect audit evidence. We start with a baseline audit of how your code reaches production to find the quickest wins.
Scans run automatically inside the pipeline, so developers see findings in their normal workflow instead of after deployment. Risk-based policies block only serious issues, lower-risk findings become tasks for the right team, and approved exceptions are logged. Routine changes don't wait on a manual security sign-off.
We move secrets out of code and config files into managed secret storage, give each person and service least-privilege access and rotate secrets regularly. Every use is recorded, so you can trace who accessed what. Break-glass access covers emergencies, with its own approval and audit trail.
Drift is when a live environment no longer matches its code because someone changed it by hand. We define infrastructure in code, rebuild environments rather than patching them and promote changes through Git. Drift detection flags any mismatch and can restore the version defined in code automatically.
Evidence is collected automatically as work moves through the pipeline. Policy checks record what changed, who approved it, which scans ran and what was deployed. Auditors get a versioned, searchable trail, and your engineers no longer gather screenshots by hand before each audit.
Timing depends on how many teams, repositories and environments you have, and how much is already automated. We start with a baseline audit of your delivery flow and control gaps, then build the pipeline in stages, starting with the quickest wins. A scoped project can kick off in 1–2 weeks.
You can work with a managed squad for a flat monthly fee with no hourly bills, which suits ongoing pipeline and platform work, or agree a fixed-scope quote for a defined project such as a pipeline rebuild. After the first call we suggest the right team and give you a rough quote range.
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