Status quo · late 2026
What has changed — and why it matters now
How we approach it
Our method for DevSecOps & Secure Development
01AssessSDLC maturity (SSDF, OWASP SAMM), pipeline threat model, current tooling and noise.
02Design guardrailsGolden paths, policy-as-code, secrets strategy, signing and provenance, branch protection.
03IntegrateSAST/SCA/DAST/IaC in CI with quality gates that developers accept; ASPM for correlation.
04Secure AI developmentPrompt and tool security for agents, evaluation gates, MCP server hardening, model registry controls.
05EnableSecurity champions, developer training, dashboards and SLAs.
In depth
Controls across the pipeline
Plan
Threat modelling, security requirements, abuse cases.
Code
Pre-commit hooks, secrets scanning, AI-coding policies.
Build
SAST, SCA, SBOM generation, signed artefacts, reproducible builds.
Deploy
IaC scanning, admission control, policy-as-code, environment segregation.
Run
Runtime protection, DAST, drift detection, feedback to backlog.
What you get
Deliverables
Secure CI/CDSAST / DASTSecure AI agentsContainer securitySecrets managementDeveloper enablement
Technology-agnostic
Platforms we work across
We design for the outcome first and choose the platform second — across Microsoft, AWS and Google Cloud, and every major AI provider.
GitHub Advanced SecurityAzure DevOpsGitLabAWS CodePipelineGoogle Cloud BuildSnykSigstoreHashiCorp VaultOPA / Kyverno
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