Dataspace Security
Home / Services / Cloud Security / DevSecOps Engineering
Cloud Security · SVC 04

DevSecOps Engineering

We build the guardrails into your delivery pipeline: SAST/DAST/SCA tuned to your stack, IaC scanning, secrets detection and policy-as-code — with developer experience treated as a requirement, not a casualty.

PIPELINE-NATIVEPOLICY AS CODEDEVEX-FIRST TUNING
What we cover

Ship fast and prove it was safe.

Pipeline threat modeling, scanner selection and tuning for signal over noise, secrets and IaC gates, artifact signing and provenance, and the exception workflow that keeps engineers unblocked.

What you receive
  • Pipeline security architecture
  • Tuned scanner configs with baselines
  • Policy-as-code rule library
  • Exception workflow design
  • Rollout runbooks for engineering
Methodology · steps 01–05 of the Dataspace lifecycle

How the engagement runs.

01

Discover

Pipeline inventory and threat model.

02

Assess

Gap analysis against target architecture.

03

Prioritize

Rollout sequenced by risk and friction.

04

Remediate

Gates implemented with your platform team.

05

Validate

Noise review after 30 days of signal.

GovernanceOps AI

Pipeline evidence, automatically archived.

Scan results and gate decisions flow into the evidence repository — SDLC controls proven without screenshots.

See the workflow
Common questions

Before you ask.

GitHub Actions, GitLab CI, Jenkins, Azure DevOps and Bitbucket Pipelines — the architecture is portable across them.