Governance & Policy Packs
AI Fabrix embeds governance by design. Instead of treating governance as an afterthought, Fabrix uses its Miso control layer to enforce consistent policies across every connector, pipeline, and workspace. This ensures that AI adoption remains safe, transparent, and predictable—even at enterprise scale.
Table of Contents
- Policy Packs
- Usage & Cost Guardrails
- Egress & Data Controls
- Auditable Governance
- Benefits
- Conclusion
Policy Packs
- Predefined Controls: Fabrix ships with policy packs for common governance needs, such as egress restrictions, usage quotas, and connector access.
- Custom Policies: Administrators can define custom rules aligned with internal compliance frameworks or regulatory mandates.
- Policy-as-Code: Policies can be versioned and promoted across Dev → Test → Prod environments, ensuring consistency without manual oversight.
Usage & Cost Guardrails
- Quotas: Limit tokens, storage, or API calls to prevent runaway costs.
- Budgets: Set workspace-level cost thresholds to align with project budgets.
- Cost Forecasting: Usage telemetry feeds into cost projections, helping enterprises stay within financial limits.
Egress & Data Controls
- Egress Restrictions: Policies control what external systems Fabrix can connect to, reducing data exfiltration risk.
- Connector Governance: Each connector inherits governance checks before being deployed in production.
- Evidence Hooks: Every policy decision is logged, creating transparent proof of enforcement.
Auditable Governance
- Centralized Logs: All governance actions (e.g., quota enforcement, connector approvals) are logged with correlation IDs.
- Traceable Enforcement: Administrators can show when and how policies were applied.
- Audit-Ready Evidence: Logs are exportable to SIEM and compliance systems for regulatory audits.
Benefits
Fabrix governance ensures:
- No “shadow AI” pipelines escape enterprise policy.
- Administrators can balance innovation with compliance.
- Enterprises retain predictable control over risk and cost.
Conclusion
With governance and policy packs, Fabrix ensures that AI is never a free-for-all. Every connector, workflow, and user action is controlled, auditable, and compliant with enterprise rules—from pilot to global rollout.
