TrueCMS clients wake up to security patches already deployed to UAT. No late nights. No release-day dread. The secret is an automated security autopilot that coordinates updates, testing, and approvals while you sleep.
Step 1: Monitor and Prioritise
We continuously monitor security update channels via the package managers and trusted security feeds used by each system. Every stack has its own package manager, and we rely on those ecosystems—plus selected third‑party services—to flag vulnerable versions. When a vulnerability is identified, the relevant package manager surfaces the fix and prepares the patch for application.
For complex codebases with custom patches, and only with client approval, we can enable AI‑assisted pipelines to generate or adapt fixes. Because a patch can sometimes conflict with previously applied changes, we always consult with you first and follow our AI Safety & Responsible Use Policy. See our policy at AI Safety & Responsible Use.
Note: for GovCMS we additionally subscribe to platform notices and monitor release cycles on GitHub. Severity and exploitability still shape the response window.
Step 2: Automate Patch Application
Once a fix is available, automation creates a working branch, applies updates through the project’s package managers, and triggers the test suites. If anything fails, the pipeline pauses and alerts engineers for review.
Step 3: Run the Quality Gates
Every patch flows through the same CI/CD automation used for feature work:
- Linting and static analysis to guard code health.
- Unit tests for fast confidence.
- Behat scenarios validating editorial and content workflows.
- Playwright smoke/regression journeys for the public site; visual regression checks on key templates when required.
Results annotate the pull request so reviewers see exactly what changed and why a check failed.
Step 4: Overnight Deployments
If checks pass, the pipeline deploys to staging/UAT during low-traffic hours. Stakeholders arrive in the morning with a clean handover note, screenshots, and rollback instructions. CI is provider‑agnostic: we commonly run on GitHub Actions, GitLab CI, and CircleCI.
Step 5: Continuous Improvement
We evolve the suite with each incident. If a class of issue slips through, we add a new Behat step or Playwright check and update static‑analysis rules. Over time, the autopilot handles more scenarios without human intervention.
Why this works
The combination of a production‑grade scaffold, disciplined CI/CD, and our in‑house runbooks for automated security updates eliminates weekend cutovers and guesswork. Teams focus on features, while UAT stays up‑to‑date overnight.
Security autopilot frees teams to focus on meaningful work while staying fully compliant with security obligations.