Scanners create noise
A long list of findings does not explain exploitability, ownership, release impact or the safest remediation order.
All servicesSecure Software Delivery
Build security evidence into delivery without turning every release into a queue.
CloudForge helps engineering and security design proportionate controls across source, dependencies, builds, artifacts, infrastructure and deployment. The result is a secure delivery path with trusted artifacts, useful evidence and exceptions people can actually operate.
The symptoms behind the search
Build systems are over-trusted
Broad credentials, mutable runners and unverified artifacts make the delivery system itself a high-value attack path.
Exceptions disappear into chat
Controls become inconsistent when bypasses have no owner, reason, scope, expiry or audit record.
How we approach it
DevSecOps makes secure delivery a traceable engineering system
Security controls are effective when they influence a decision at the right point in delivery. Adding more scanners can increase data without improving assurance, especially when findings lack ownership, exploitability context or a defined effect on release.
CloudForge maps the path from source change to production runtime and identifies the trust boundaries around identity, dependencies, builds, artifacts, infrastructure and deployment. We then design controls according to workload risk, evidence quality and the team's ability to respond.
The result is a delivery system that can explain what was built, from which source and dependencies, by which trusted process, under which policy and with which approval. Exceptions remain possible, but they are scoped, owned, time-limited and visible.
Delivery threat modeling
Focus investment on realistic attack paths and the decisions that reduce them.
- Source, identity and workflow trust boundaries
- Build runner and artifact threats
- Deployment, secret and infrastructure exposure
Pipeline and identity hardening
Reduce persistent credentials and protect the workflows that can change production.
- Federated short-lived workload identity
- Protected workflows and least privilege
- Isolated runners and environment controls
Software supply chain evidence
Create evidence that is generated, retained and verified as part of artifact promotion.
- Dependency and source policy
- SBOM, signatures and provenance
- Artifact verification and retention
Risk-based policy and response
Connect findings to release actions, owners, remediation and exceptions.
- Severity and confidence thresholds
- Policy as code for infrastructure and admission
- Exception scope, approval and expiry
Practical deliverables, not just advice
The output is designed for engineering teams that need to act: roadmaps, controls, dashboards, automation, runbooks and implementation support.
Delivery threat model
A practical model of source, identity, build, artifact, deployment and infrastructure risks, with prioritized controls.
Secure pipeline architecture
Least-privilege identity, protected workflows, trusted runners, immutable artifacts, environment controls and safe promotion.
Supply chain evidence
Dependency policy, SBOM generation, signatures, provenance, verification and retention designed around release decisions.
Policy and exception model
Risk-based gates, documented overrides, expiry, ownership and reporting that keep delivery usable and auditable.
Outcomes your team can keep improving
Trusted artifacts
Promotion uses immutable artifacts with source, build and dependency evidence.
Lower credential risk
Delivery workflows use narrow, short-lived access with protected production boundaries.
Useful security feedback
Findings have context, ownership and a proportionate effect on delivery.
Auditable exceptions
Overrides record the reason, scope, approver and expiry instead of becoming permanent bypasses.
This engagement is a strong fit when
- CI/CD credentials or runners have broad production access
- Security scanners produce more findings than teams can evaluate
- Customers or auditors require SBOM, provenance or release evidence
- Infrastructure and Kubernetes policy is applied inconsistently across teams
Principles that guide the work
- Model the delivery threat before selecting controls
- Build once, promote immutably and verify before deployment
- Use risk, confidence and reachability to govern release decisions
- Give every exception an owner, scope, reason and expiry
From first look to handover
Assess the delivery path
We trace a production change from commit to runtime, including identities, approvals, artifacts, infrastructure and current evidence.
Prioritize by risk
We connect threats and findings to workload exposure, business impact and release decisions instead of enabling every available check.
Implement controls
We add identity, scanning, artifact, policy and deployment controls with clear developer feedback and tested failure behavior.
Prove and improve
We test bypass resistance, document exceptions, measure remediation and update controls as the platform changes.
Tools we can work with
Improve the stack you already have
We usually make your current tools cleaner before recommending a switch. The goal is a better operating model, not a shiny tool migration.
- GitHub Actions
- GitLab CI
- Azure DevOps
- Vault
- Trivy
- Snyk
- Semgrep
- SonarQube
- Syft
- Cosign
- OPA
- Conftest
- Terraform
Research the decision before the call
Use these practical CloudForge guides to understand the operating model, tradeoffs and next steps connected to this service.
DevSecOps pipeline security guideA practical architecture for identity, SBOMs, provenance, policy, verification and exceptions.CI/CD deployment engineeringSee how delivery orchestration separates continuous integration from controlled deployment.DevOps and SRE operating modelPlace security controls inside a wider delivery and reliability system.
Questions
What people ask before we start
No. Effective controls are based on risk and confidence. Some findings should block a release, others need an owner and remediation deadline, and low-confidence signals may begin as advisory feedback.
Ready to turn this into a working plan?
Book a 30-minute call and we will define the fastest path to measurable cloud savings, safer releases or a more reliable platform.