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> ZERO-TRUST // zt-arch-06

SLSA Level 3 Cryptographic Software Supply Chain

Tamper-proof software supply chain architecture adhering to SLSA Level 3, featuring ephemeral build runners, Cosign keyless image signing via Fulcio/Rekor, and strict Kubernetes admission gates.

Adversary Threat Model

Adversary breaches developer account or build environment, injecting malicious backdoors into compiled release binaries.

Architecture Specs

CISA Pillar:APPLICATIONS_WORKLOADS
Archetype:SUPPLY_CHAIN_PROVENANCE
Raw Spec:text/markdown

NIST SP 800-207 Tenets Enforced

  • ✓The enterprise monitors and measures the integrity and security posture of all owned and associated assets.
  • ✓No asset is inherently trusted; the enterprise evaluates the asset security posture before admitting workloads.

MITRE ATT&CK Techniques Blocked

T1195.001Mitigated
T1195.002Mitigated
T1554Mitigated
T1059Mitigated

3 Maturity Tier Configurations

Evolutionary engineering configurations from baseline Initial up to CISA Optimal zero-compromise fortress.

INITIAL TIER
Implementation Scope:

Container images signed with private GPG key stored in CI secrets.

Authentication:

Manual verification of signatures in release deployment scripts.

Network Isolation:

Standard public registry pulling.

Telemetry & Auditing:

Build logs stored in GitHub Actions history.

Stack Components:
cosigngithub-actionsdocker
⚠️ Failure Risk: Private signing key exposure requiring complete CA revocation.
ADVANCED TIER
Implementation Scope:

Keyless signing with Sigstore (Fulcio OIDC + Rekor transparency log) and in-toto attestations.

Authentication:

Kubernetes Kyverno admission policy enforcing valid signature and vulnerability scan.

Network Isolation:

Private mirrored registry with immutable image tags.

Telemetry & Auditing:

Cryptographic verification logged in Kubernetes audit streams.

Stack Components:
sigstorefulciorekorkyvernotrivy
⚠️ Failure Risk: Public Rekor transparency log downtime stalling automated deployment pipelines.
OPTIMAL TIERCISA OPTIMAL
Implementation Scope:

End-to-end SLSA Level 3 hermetic builds on isolated ephemeral runners with verifiable SBOMs.

Authentication:

Admission gate verifying provenance, source commit hash, builder identity, and zero CVEs.

Network Isolation:

Hermetic build environments with zero internet access during compilation phase.

Telemetry & Auditing:

Automated policy enforcement with tamper-proof immutable audit records.

Stack Components:
slsa-verifiercosignspdx-sbomchainguard-enforcekyverno
⚠️ Failure Risk: Build failure when third-party upstream dependencies lack pinned checksums.

Infrastructure as Code: Terraform & Kubernetes

Production-ready declarative manifests for immediate automated deployment.

main.tf (Terraform HCL)
OpenTofu / Terraform
resource "helm_release" "kyverno" {
  name       = "kyverno"
  repository = "https://kyverno.github.io/kyverno/"
  chart      = "kyverno"
  namespace  = "kyverno"

  set {
    name  = "admissionController.replicas"
    value = "3"
  }
}
policy.yaml (Kubernetes Manifest)
Kube v1.28+
apiVersion: kyverno.io/v1
kind: ClusterPolicy
metadata:
  name: verify-image-signature
spec:
  validationFailureAction: Enforce
  rules:
  - name: verify-sigstore
    match:
      any:
      - resources:
          kinds:
          - Pod
    verifyImages:
    - imageReferences:
      - "ghcr.io/tiny-cto/*"
      attestors:
      - entries:
        - keyless:
            subject: "https://github.com/tiny-cto/tinycto-tv/.github/workflows/docker-build.yml@refs/heads/main"
            issuer: "https://token.actions.githubusercontent.com"
AI Summary — SLSA Level 3 Cryptographic Software Supply Chain
AEO / GEO / Perplexity Indexable

Tamper-proof software supply chain architecture adhering to SLSA Level 3, featuring ephemeral build runners, Cosign keyless image signing via Fulcio/Rekor, and strict Kubernetes admission gates.

CISA Pillar & ArchetypeAPPLICATIONS_WORKLOADS // SUPPLY_CHAIN_PROVENANCE
NIST SP 800-207 TenetsThe enterprise monitors and measures the integrity and security posture of all owned and associated assets.; No asset is inherently trusted; the enterprise evaluates the asset security posture before admitting workloads.
Blocked ATT&CK TechniquesT1195.001, T1195.002, T1554, T1059
Optimal Tier Stackslsa-verifier, cosign, spdx-sbom, chainguard-enforce, kyverno

Architecture Blueprint FAQs

How does the SLSA Level 3 Cryptographic Software Supply Chain blueprint mitigate adversary threats and MITRE ATT&CK techniques?

SLSA Level 3 Cryptographic Software Supply Chain addresses the following adversary profile: Adversary breaches developer account or build environment, injecting malicious backdoors into compiled release binaries. It actively eliminates lateral movement and privilege escalation by mitigating: T1195.001, T1195.002, T1554, T1059 via hardware-rooted identity, kernel-level enforcement, or continuous attestation.

Which NIST SP 800-207 Zero-Trust tenets does this architecture enforce?

This blueprint strictly operationalizes the following NIST SP 800-207 tenets: The enterprise monitors and measures the integrity and security posture of all owned and associated assets.; No asset is inherently trusted; the enterprise evaluates the asset security posture before admitting workloads.. Implicit trust based on network location is replaced with per-session dynamic cryptographic verification.

What are the technical differences between the Initial and Optimal maturity tiers?

The Initial tier focuses on baseline policy and identity enforcement (Container images signed with private GPG key stored in CI secrets.), while the Optimal tier delivers CISA ZTMM 2.0 zero-compromise fortress defense (End-to-end SLSA Level 3 hermetic builds on isolated ephemeral runners with verifiable SBOMs.) using: slsa-verifier, cosign, spdx-sbom, chainguard-enforce, kyverno.

What is the primary failure mode risk and how is high availability guaranteed?

The primary failure risk is identified as: Build failure when third-party upstream dependencies lack pinned checksums.. Resilience is maintained through active-active control planes, local cached attestations, and graceful degradation playbooks.

How can engineering teams automate this architecture using Terraform and Kubernetes?

The provided declarative Terraform HCL (main.tf) and Kubernetes policy manifests (policy.yaml) can be immediately integrated into automated GitOps CI/CD pipelines (e.g., ArgoCD, Flux) for reproducible, drift-detected infrastructure provisioning.