Security & Data Governance

How we handle your code, your data, and your compliance requirements

AI-native workflows introduce new security considerations. We treat them as first-class engineering concerns — not afterthoughts, not checkbox exercises.

Client data handling

When we work with your codebase, your proprietary source code is treated as confidential intellectual property. Here is exactly what happens to it.

  • No training data contribution. Your source code is never used to train, fine-tune, or improve any AI model. We require this contractually from every AI tooling provider we use.
  • Enterprise-tier AI providers only. We use commercial AI services with enterprise data protection agreements — zero-retention API tiers where your data is processed and discarded, never stored or logged by the provider.
  • Data residency options. If your compliance requirements mandate data residency within a specific jurisdiction, we configure tooling accordingly or use self-hosted model deployments.
  • Scope-limited access. Our engineers access only the repositories and systems required for the engagement. Access is provisioned at engagement start and revoked at handoff.
  • Data Processing Agreement on request. We execute a DPA before any engagement where AI tooling touches your proprietary code.

Security controls in AI-native workflows

AI-generated code is held to the same security standard as human-written code. The difference is that we automate the enforcement so it cannot be skipped.

  • Static analysis on every commit. SAST tooling runs in the CI pipeline on all code — AI-generated and human-written. Vulnerabilities are flagged before merge, not after deployment.
  • Secrets scanning. Pre-commit hooks and CI-level scanning detect hardcoded credentials, API keys, and tokens before they reach the repository.
  • Dependency auditing. Automated checks for known vulnerabilities in third-party dependencies. SBOM generation for full supply chain visibility.
  • Code provenance tracking. Every change is attributed — human-authored, AI-assisted, or AI-generated — in the commit metadata. Audit trails are complete and queryable.
  • Human review gates. AI-generated code is reviewed by a senior engineer before merging to any protected branch. The AI proposes. A human approves.

Regulatory compliance

The parallel factory operates with its own governance cadence, its own tooling, and its own team structure. It does not operate outside your regulatory obligations.

“Separate governance” means faster decision cycles and fewer coordination bottlenecks. It does not mean bypassing audit requirements, security reviews, or compliance gates. We make those gates faster by encoding them into the deployment pipeline — not by removing them.

  • Your control framework applies. SOX, OCC, FFIEC, HIPAA, NERC CIP, GDPR — whatever your regulatory environment requires, the parallel factory meets it. We design around your constraints, not ours.
  • Audit trail integrity. Complete records of what was built, who reviewed it, how it was tested, and when it was deployed. Queryable, exportable, examiner-ready.
  • Compliance encoded in CI/CD. Regulatory gates are automated checkpoints in the deployment pipeline, not manual review meetings. Faster throughput, same rigor.
  • Industry-specific controls scoped during engagement kickoff. We map your regulatory requirements in Week 1 and design the delivery workflow to satisfy them structurally.

Vendor risk readiness

When your procurement or security team sends us a vendor risk questionnaire, here is what we provide:

  • Security questionnaire responses. We complete SIG, CAIQ, or custom vendor risk questionnaires.
  • Data handling documentation. Full description of how client data flows through our tooling, what is retained, and what is discarded.
  • Cyber insurance documentation. Professional liability and cyber insurance certificates available on request.
  • Incident response plan. Documented procedures for security incidents including AI-specific failure modes — vulnerability in AI-generated code, data exposure through LLM context, or supply chain compromise in AI tooling.
  • Breach notification commitments. Contractual notification timelines aligned with your regulatory requirements.

We know what your CISO needs to see before approving a vendor. We built our documentation to answer those questions before you have to ask them.

Have security questions?

If your security or procurement team needs to evaluate us before a call, we will send you our documentation package directly.

Request Security Documentation