Integrations

Immuta + Teradata:
Intelligent Governance for the Knowledge Platform

Teradata (www.teradata.com) is an autonomous AI and knowledge platform trusted by many of the world’s most valuable organizations. As enterprises accelerate their move to the cloud, modern data teams expect governance to be just as agile: policy-driven, self-service, automated, and auditable by design. Immuta amplifies the power of Teradata by seamlessly delivering intelligent governance and access provisioning across the Knowledge Platform.

  • Provision data safely across on-prem, VantageCloud, and hybrid.
  • Enforce fine-grained and purpose-based controls.
  • Expand access to more users and AI agents.
  • Reduce manual ticketing and governance overhead.
  • Prove compliance with a full audit trail.
Talk to an Expert
 

The intelligent enterprise demands that governance be as autonomous as the AI it enables, which is why our partnership with Immuta brings policy-driven access control directly into Teradata—allowing trusted data to fuel AI innovation without compromise.

Control

Policy-based access controls, on-prem and in VantageCloud.

Fine-Grained Enforcement

Row-level and column-level controls so users only see what they are entitled to see.

Purpose-Based Controls

Purpose / intent-based access controls for humans and AI agents.

Hybrid Cloud Enforcement

Prove least-privilege access as workloads extend to VantageCloud and coexist with on-prem Teradata.

Audit-Ready Visibility

Track who accessed what data, when, and which policies were enforced.

Provisioning

Self-service access requests with automated approval routing.

Request Access from Anywhere

Launch requests from Immuta, a data catalog, or a marketplace so users stay in context.

Automated Approval Routing

Capture justification, route to the right approvers, and provision access with least-privilege controls.

Full Audit Trail

Record who requested access, who approved it, what was granted, and how it was used.

AI Enablement

Govern AI and RAG retrieval with the same policies that govern analytics.

As enterprises move from dashboards to AI copilots and agentic workflows, a core requirement emerges: the model should only retrieve and use the data that the requesting user is allowed to access.

Immuta can apply ABAC-driven row filtering to retrieved chunks at response time, so the model sees only what the user is permitted to access. Immuta can also classify text chunks at the row level to drive policy decisions for unstructured content, then audit and monitor those reads to support AI governance.

How It Fits Together

We won’t waste your time with generic sales pitches. Whether you need technical help, strategic guidance, pricing, or partnership support, we’ll connect you directly with the right expert to get you clear answers fast.

Frequently Asked Questions

Can we move to the cloud?
Yes. Most teams run hybrid for a period of time. Immuta supports hybrid Teradata environments, and keep governance consistent as workloads extend to VantageCloud. This means you’ll avoid a governance reset while you adopt the deployment model that fits your needs.
Will this allow me to add new types of users?
Yes. Immuta helps you safely expand Teradata access to new consumer groups, new tools, and new use cases by replacing ad hoc grants with fine-grained, policy-based access plus governed self-service requests.
How will provisioning and access work?
Users request access to Teradata-backed data assets through Immuta or via embedded request flows in your existing data catalog or marketplace. Requests capture context and justification, route for the right approvals, then provision access using Teradata-native permissions and roles. Every step is captured for audit from request to access and use.
Can I do GenAI projects with a vector store in Teradata?
Yes. Teradata Enterprise Vector Store is designed to store and manage high-dimensional vectors and support semantic search and retrieval for natural language applications, with Vantage as the foundational compute and storage engine. Immuta complements this by ensuring that retrieval is entitlement-aware. If your RAG approach stores chunks and embeddings in Teradata tables, Immuta can apply ABAC-driven row filtering at query time so the model only retrieves content the requesting user is permitted to access.
Will this impact performance?
No. Immuta enforces policies natively inside Teradata, so Teradata remains the compute and execution engine. You will maintain the same performance and cost profile you would expect running Teradata directly.