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
- Compliance-by-Design
- Audit Trails
- Evidence & Reporting
- Benefits
- 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.
