GCP foundation for an AI-powered LegalTech startup

It means your security controls are not just theoretical but are automated, auditable, and continuously monitored. That's why we treat compliance as an engineering problem, not a paperwork exercise.

Our process involves mapping your infrastructure and CI/CD controls to the SOC 2 Common Criteria and automating the collection of evidence—like configurations and runbooks—from version control. This results in a continuously updated evidence catalog ready for auditors, with no last-minute manual effort.

We eliminate standing admin privileges entirely and replace them with a Just-in-Time (JIT) access model. This ensures no one has persistent, high-level access to production environments.

Access is granted for a time-bound window, requires approval, and is programmatically tied to a specific change or incident ID. All elevation events are logged for review, resulting in zero persistent production admins and a fully auditable access trail.

By building automated quality gates directly into the CI/CD pipeline. No deployment can be promoted to the next environment without passing a series of automated, non-negotiable checks.

Our GitLab pipelines integrate unit and integration tests, container vulnerability scanning, and post-deployment smoke tests. A "green check" is required at each stage before code can move from development to staging, and finally to production, ensuring a change failure rate of less than 10%.

No. A backup is a component; a DR plan is a documented, tested, and proven process for restoring service within a specific timeframe.

Our process includes defining clear Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO). We use Terraform to define the infrastructure re-provisioning process as code and conduct semi-annual DR drills to validate the entire plan. This ensures we can meet our RTO of 2 hours and provides a clear, actionable playbook for any critical failure event.

Through a combination of proactive governance and continuous optimization. We establish a FinOps practice from day one to ensure costs remain predictable and aligned with business value.

This involves setting budgets with automated alerts, implementing resource labeling for chargeback, and tuning GKE node pools and autoscaling configurations. A monthly FinOps review allows us to rightsize resources and plan for reservations where applicable, resulting in 12-20% cost avoidance versus forecast and a stable spending profile.