---
title: "AI Data Governance"
description: "DreamFactory enforces AI data governance, security, and compliance at the API edge with identity passthrough, RBAC, and row-level policies."
url: "https://www.dreamfactory.com/ai-data-gateway/ai-data-governance"
---

AI Data Gateway 

# AI Data Governance  
for the Enterprise

Fine-grained data-level security for artificial intelligence and enterprise applications

Free 30 minutes Demo

## What does AI data governance mean in practice?

AI data governance is the enforcement of who — human or model — can access which data, under what conditions, with a verifiable record. DreamFactory enforces it at a self-hosted security perimeter: authentication federates to your existing identity providers (OAuth 2.0, OpenID Connect, SAML, LDAP/AD), authorization applies least-privilege role, field, and row controls with identity passthrough, and every access is captured for governance visibility.

Because the layer deploys on your Linux servers, private cloud, or containers — including air-gapped environments — sensitive data never depends on a multi-tenant SaaS.

## How does DreamFactory enforce AI data security?

DreamFactory creates a self-hosted, governed data API layer where all AI models and enterprise applications must pass through the same authentication, authorization, and threat-protection controls before touching enterprise data. DreamFactory's AI data gateway uses identity passthrough, role-based access control (RBAK), and row-level policies so AI data governance, artificial intelligence security, and AI data security are enforced at the gateway instead of scattered across applications.

### Self-hosted security perimeter

Keep the AI data governance layer inside your network and under your policies

### Authentication federation

Reuse existing identity providers for consistent artificial intelligence security

### Granular authorization and identity passthrough

Enforce least-privilege, field/row controls, and downstream identity

### Threat protection

Stop common attacks and malformed requests at the data API edge

### Auditability and governance visibility

Capture who accessed what, when, and how across AI and applications

## Self-Hosted Security Perimeter

DreamFactory keeps your AI data governance and data access layer inside your own network boundary so your security and compliance policies—not a vendor's SaaS—define the rules.

### On-prem and private cloud first

Deploy on Linux servers, private cloud, or containers instead of multi-tenant SaaS

### Air-gapped and regulated environments

Run with no internet access where regulations require strict AI data security

### Edge and hybrid control

Place the data API layer near plants, branches, or devices with centralized policy enforcement

## Authentication Federation

DreamFactory plugs into your existing identity providers so AI systems, services, and users authenticate the same way everywhere, strengthening overall artificial intelligence security.

### API key and token auth

Support for API keys, OAuth 2.0, OpenID Connect, and JWT validation

### Enterprise directory integration

Map LDAP/Active Directory and SAML/SSO users and groups into roles

### Strong client identity

Add mutual TLS and optional MFA for high-value APIs and sensitive operations

## Granular Authorization and Identity Passthrough

DreamFactory enforces least-privilege access down to individual fields and rows and passes identity through to data systems so existing policies and AI data governance controls continue to work.

### Role-based access control

Govern which APIs, methods, and resources each user, service, or AI agent can call

### Attribute-based policies

Use user, resource, and contextual attributes for fine-grained decisions

### Field-level security

Mask, redact, or block sensitive fields by role and attribute

### Row-level security

Enforce per-row entitlements so consumers only see allowed data

### Identity passthrough

Preserve real user identity and groups for downstream RLS and audit policies

## Threat Protection

DreamFactory stops common attack patterns and malformed requests at the data API edge, protecting databases and services behind the AI data gateway.

### SQL injection prevention

Controlled query patterns and validation to block injection attempts

### Web security controls

Cross-site scripting protection, CORS management, and payload-level encryption options

### Network-aware controls

IP allow/deny lists and geo-blocking via scripting for origin-based filtering

### Request validation

Schema and rule checks on incoming payloads to reject unsafe input before execution

## Auditability and Governance Visibility

DreamFactory records who accessed what, when, and how—even when AI agents are in the loop—so AI data governance and AI data security are observable, not assumed.

### Audit logging

Track security events, configuration changes, and data API usage across AI and applications

### Usage analytics

See which APIs, data sources, teams, and AI workloads consume which data and how often

## Frequently asked questions

### Can we reuse our existing identity provider?

Yes. Authentication federates to your current providers — OAuth 2.0, OpenID Connect, SAML, and LDAP/Active Directory — so AI access follows the same identities and groups as everything else.

### How granular are the access controls?

Least-privilege enforcement down to field- and row-level, with identity passthrough so downstream systems see the real requesting identity rather than a shared service account.

### Does it work in air-gapped environments?

Yes. The governance layer is self-hosted and can run with no internet access where regulations require strict AI data security.

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