Compliance & Auditability

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# Compliance & Auditability

AI Fabrix is designed for enterprises that must operate under strict compliance obligations. Instead of adding compliance later, Fabrix provides compliance-by-default, aligning with security frameworks such as ISO-27001 and enabling transparent, evidence-ready audits.

Table of Contents

  1. Compliance-by-Design
  2. Audit Trails
  3. Evidence & Reporting
  4. Benefits
  5. Conclusion

Compliance-by-Design

  • ISO-27001 Alignment: Fabrix follows secure development and operational practices consistent with ISO-27001 controls.
  • Azure-Native Security: All secrets are stored in Azure Key Vault, and workloads run on hardened containers inside the customer's tenant.
  • Private Networking: Services communicate only through private endpoints, with no unmanaged public exposure.
  • Secure Baseline: Deployment templates follow Microsoft's Azure security benchmarks, reducing audit overhead.

Audit Trails

  • User Actions: Every login, role assignment, and workflow execution is captured with time-stamped logs.
  • Connector Usage: All data movement (e.g., SharePoint sync, CRM ingestion) is logged with context and correlation IDs.
  • AI Outputs: Responses generated by agents can be linked to source documents and metadata for traceability.

Evidence & Reporting

  • Exportable Logs: Fabrix integrates with SIEM tools for long-term storage and regulatory reporting.
  • Correlation IDs: Each workflow run carries a unique trace identifier to simplify root-cause analysis and compliance review.
  • SBOMs (Software Bill of Materials): Fabrix components are shipped with SBOMs to support software supply chain transparency.

Benefits

With Fabrix, enterprises gain:

  • Confidence that security and compliance are enforced by default, not added later.
  • Transparent, auditable evidence trails for every user, connector, and AI output.
  • Reduced risk of compliance violations when scaling AI into sensitive use cases.

Conclusion

Fabrix provides more than technical compliance—it creates an evidence-ready AI fabric that supports regulatory audits, risk management, and board-level assurance. Enterprises can prove, not just claim, that AI adoption is secure, governed, and compliant.