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Introducing Enterprise-Grade Role-Based Access Control (RBAC) for deepset

Learn how deepset AI Platform's role-based access control (RBAC) helps you balance innovation and security as you scale AI apps and agents into production.

By
The deepset Team
,
Published on
August 20, 2025
12
min read

TLDR

Key Metrics:

At deepset, we collaborate with organizations of all sizes to help them build and deploy AI solutions that drive high-impact outcomes. As our customers move their AI projects into production, we've noticed a common theme: the need for enhanced security, risk mitigation, and precise access control. That's why we're excited to announce a major enhancement to our platform to address these requirements: enterprise-grade Role-Based Access Control (RBAC).

The Importance of RBAC in AI App Development Platforms

When CIOs and CTOs evaluate AI app development platforms, they must prioritize solutions that can seamlessly transition from experimentation to production while maintaining the highest security and compliance standards. 

AI application development platforms, like the deepset AI Platform, empower organizations to rapidly test and deploy AI solutions using features such as app templates, pre-built components, and a visual builder. However, as these apps and agents move into production, it's crucial to ensure that the platform also provides robust security features, such as RBAC, to ensure access to sensitive data and workflows is carefully controlled.

deepset’s RBAC directly addresses these concerns by providing the necessary controls and flexibility to meet each organization's unique needs, allowing technical leaders to balance innovation and security effectively.

Key Features of deepset's RBAC Solution

Our new RBAC enhancements include:

Refined Default Roles

We've introduced a more refined role hierarchy, with distinct roles at both the organization and workspace  levels (segmented work areas by team, geo, project, production stages, etc). This allows platform admins to delegate responsibilities more effectively and lets builders to focus on developing and maintaining AI pipelines.

Custom Role Creation

Tailor workspace roles to match your teams' workflows. With granular permissions for essential platform features like Pipelines, Jobs, Feedback, Shareable Prototypes, and more, you can:

  • Equip subject matter experts or partners with the tools they need without exposing sensitive workflows
  • Maintain compliance by granting minimum required access
  • Streamline user onboarding with role templates

Workspace-Scoped Secrets & Integrations

Give your teams the ability to configure secrets (e.g., API keys for custom components or database connection strings) and integrations at the workspace level. Reduce dependencies across projects and enable teams to work autonomously while providing admins with the tools to enforce governance and access controls.

deepset AI Platform RBAC: Creating a Custom Role
deepset AI Platform RBAC: Creating a Custom Role

Empowering Enterprises with Secure and Flexible AI Development

We're dedicated to evolving our platform to support enterprises as they advance their AI initiatives. This latest release marks an important milestone in our commitment to delivering a secure, flexible, and production-ready platform for our customers. Get all the details on RBAC in deepset AI Platform in our documentation.

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