Secure CI/CD & DevSecOps: Your pipeline is part of your security

We build software and CI/CD pipelines where every change is tested, analysed and verified before it reaches production, with AI agents reviewing the code alongside your developers.

Security that runs on every commit

Most attacks on software today target the supply chain: dependencies, build systems and the way code reaches production. That makes the CI/CD pipeline one of your most important security controls. We design pipelines that stop vulnerable code, leaked secrets and unapproved changes automatically, and we add AI agents that analyse the code the way an experienced reviewer would, on every single change.

Secure CI/CD pipelines

The pipeline as a security control: nothing reaches production without passing the checks.

AI code analysis agents

AI agents that review every pull request for vulnerabilities, bugs and risky changes.

Software supply chain

Dependency scanning, SBOMs and signed artefacts from source to production.

Cloud-native apps

Scalable services and APIs designed for Kubernetes.

Integrations

APIs and event-driven integrations between systems, including cameras, doors and building systems.

Agile delivery

Short sprints, reviews and retrospectives, with security in every step.

The pipeline as a security control

Every change passes through the pipeline, which makes it the best place to enforce security. We build CI/CD where the checks are automatic and mandatory: if code contains a known vulnerability, a leaked secret or a policy violation, it simply does not ship. Developers get feedback in minutes, and you get evidence for every release.

  • SAST, DAST and dependency scanning on every commit
  • Secret scanning that stops leaked keys and passwords
  • Policy-as-code gates for infrastructure and Kubernetes
  • Protected branches, required reviews and signed commits
  • Container image scanning and signing
  • An audit trail for every release, ready for compliance

AI agents that review every change

Human code review is valuable but does not scale, and attackers do not wait. We set up AI agents in the pipeline that analyse every pull request: they look for vulnerabilities, insecure patterns, logic errors and risky changes, explain the findings in plain language and suggest fixes. Your developers stay in control and decide what to merge, but nothing goes unreviewed.

  • AI code analysis on every pull request
  • Findings explained with suggested fixes
  • Focus on security, quality and risky changes
  • Rules tuned to your codebase and standards
  • Reduced load on senior reviewers
  • Code and data handled according to your security requirements

Agile delivery, with security in every sprint

We work in short sprints where the team plans, builds, tests, ships and then stops to improve. Security is not a phase at the end: threat modelling is part of design, automated checks and AI review are part of testing, and the pipeline is part of deployment. In every retrospective, the team looks at what to improve next, including security.

  • Backlog refinement and sprint planning
  • Daily stand-ups and visible progress
  • Sprint reviews with working software
  • Retrospectives that improve the team every sprint
  • Security and AI code review in the Definition of Done
  • Scrum or Kanban, adapted to your organisation
Secure agile development cycleSeven steps repeated every sprint: plan, design, build, test with AI code review, deploy through a secure CI/CD pipeline, review and retrospective. Security is part of every step.01PlanBacklog & planning02DesignThreat modelling03BuildSmall increments04TestTests & AI review05DeploySecure CI/CD06ReviewDemo & feedback07RetroImprove togetherSecure AgileSecurity in every sprint

A secure software supply chain

From dependency management to signed container images, we secure every step from source code to production, so you know exactly what you run and where it came from.

  • SBOMs for every build
  • Signed artefacts and provenance
  • Infrastructure as code
  • Automated testing at every level

Case · Healthcare

A patient system for private healthcare, in production for 15 years

armsec's founder designed and developed a patient system for private healthcare providers, with applications connected to SLL (Region Stockholm). Clinics have used it in their daily work for 15 years, and they still do today. Building software that handles patient data for that long requires security, privacy and reliability to be part of the design, not added afterwards.

Talk to us about your system
Developed and maintained for 15 years
Customers running it in daily care today
Applications connected to SLL (Region Stockholm)
Sensitive patient data protected by design

How we work

A clear path from first meeting to lasting results

01

Assess

Review your current pipelines, tools and risks.

02

Secure

Add security gates, scanning and policy-as-code.

03

Automate

Introduce AI agents for code analysis on every change.

04

Ship

Continuous, verified delivery to production.

Want a pipeline that protects you?

Let us review your CI/CD and show where automation and AI agents can stop problems before they reach production.