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Veza for OpenAI

Modern Identity Security for OpenAI Members and Roles

OpenAI adoption is scaling rapidly across engineering, data science, and product teams. Member and role-based permissions bring new efficiencies but also introduce unique risks. Without centralized visibility, over-permissioned roles, opaque project membership, and fragmented administration become attack paths for adversaries and compliance blind spots for enterprises.

Veza integrates directly with OpenAI to deliver fine-grained access visibility. By mapping members and roles into Veza’s Access Graph, organizations can discover who has access to what and why. Security and identity teams can enforce least privilege, detect excessive permissions, and maintain audit readiness with confidence.

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Access Challenges in Databricks

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01

Excessive Admin & Service Principal Access

Privileged access to clusters, notebooks, and data Catalogs often remains in place long after it’s needed.

02

Siloed Access Management 
Across Workspaces

In non-Unity Catalog configurations, each workspace enforces permissions independently, making organization-wide access reviews nearly impossible.

03

Limited Oversight of Non-Human Identities

Service principals and automation accounts often go unmanaged, despite controlling sensitive pipelines and data lake access.

04

Cloud-Specific, Manual Compliance Workflows

Databricks-native tools lack centralized visibility across cloud regions and tenants, slowing down audit prep and increasing risk.

05

Layered, Hard-to-Audit Unity Catalog Permissions

Entitlements span users, groups, schemas, Catalogs, and metastores—creating tangled access paths that native tools struggle to surface.

Access Challenges in OpenAI

How Veza Helps

Veza integrates with OpenAI to:

  • Discover member > role > action relationships
  • Correlate OpenAI members and roles to enterprise users, groups, and service accounts
  • Visualize effective permissions such as assistants.create, files.delete, vector_stores.read
  • Automate access reviews for high-risk projects and roles
  • Provide auditable evidence for least-privilege enforcement

Result: Operationalize least privilege for OpenAI and bring identity governance to AI-driven environments.

Key benefits
  • Unified Visibility: Gain a single-pane-of-glass view of members (including service accounts and non-human identities) and roles mapped to enterprise identities.
  • Access Risk Detection: Surface over-permissioned roles, excessive project memberships, and non-human accounts with elevated privileges.
  • Audit-Ready Evidence: Automate access reviews and generate exportable logs to support regulatory and internal frameworks, including SOX, GDPR, PCI DSS, NIST 800-53, and ISO 27001.
  • Faster Incident Response: Quickly determine the blast radius of a compromised account – human or non-human – and revoke access with confidence.

Read our OpenAI solution brief

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Technical Overview

Supported Entities

Members

User assignments, role mappings; includes service accounts and non-human identities

Roles

Effective permissions including assistants.create, files.delete, vector_stores.read

Documentation

Explore the OpenAI Integration Documentation, where you’ll see how Veza connects to OpenAI, the objects supported (Members, Roles), and how authorization metadata is mapped into the Access Graph.  

View Documentation

Why Veza for Databricks

Get Started Today

Secure AI adoption without slowing your teams. Veza empowers organizations to control risk, accelerate audits, and enforce least privilege across OpenAI environments.
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