Agentic Data Access

AI agents are now your primary data consumers. Immuta gets them data quickly and safely.

In the past, data access was relatively predictable. A small number of data users were granted access to data ahead of time.
Permissions rarely changed, and new access requests were handled manually.

But AI agents change all of that.

Just by chatting with an AI agent, anyone in your enterprise can now use data.
In the Phase III trial, were response rates consistent across regions?
Evaluating arm-level response data by region now…
Which means many more data consumers
using data at lightning speed.
The Conventional Approach In the conventional approach, the AI agent logs in to the datasource as the human asking the question, essentially impersonating them. Here’s why that doesn’t work.
Account Sprawl
You have to give every human who may use AI an account in every data system that the AI agent might touch.
Exposure Risk
To allow agents to answer questions in the future, you have to grant direct access today, which creates a massive, permanent attack surface.
Rights Inflation
If a power user initiates a task, the agent inherits their full data platform admin permissions by default.
Muddy Audit Trail
It’s impossible to tell whether a query was run by a human or by an AI agent impersonating them.
Human-Limited AI
When the agent hits a semantic or permission wall, it can’t go any further, and can’t request access.

Immuta has built a fundamentally different agentic provisioning model.

Here’s how it works.

Agentic Identity AI agents are first-class participants in the data ecosystem, with their own governable identities. No more borrowing human accounts.
When an agent acts on behalf of a human, it operates under that human’s Immuta-defined access rights.
And everything the agent does (on behalf of whom, and why) is fully tracked and auditable.
Semantic Governance Coming Soon
At question time, the agent validates access permissions in the semantic layer, before even touching the data source. No broken queries.
Access Requests Coming Soon
When an agent sees that an answer is possible but the human lacks the rights to the data, it proactively submits an access request via Immuta.
Immuta evaluates every new request against your policies, automatically approving safe requests, and routing sensitive ones for human review.
As Immuta learns from each decision, your policy library gets smarter and more fine-tuned, allowing Immuta to automate even more provisioning for you. No access bottlenecks.
Ephemeral Access Once approved, Immuta provisions the data for only as long as needed for the agent to answer the question — no longer. No prolonged exposure risk.

All of this happens in seconds, not weeks.

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We are moving into a world where more data access requests will come from agents than from people. That changes the fundamentals of provisioning. The organizations that win will be the ones that can grant the right access for the right task at the right time, while preserving governance, accountability, and control. That is the future Immuta is building for.

Frequently Asked Questions

How does this differ from traditional OAuth 2.0?
Standard OAuth often requires the user to have an active session or account on the destination resource. With Immuta, we decouple authorization from access. The user is authorized to see the data, but they are not required to have direct access to the database. Immuta bridges this gap by creating an ephemeral database role on the fly, allowing the agent to act as a secure, authenticated broker.
Why not just create a database role for every agent task?
Mapping intents directly to session tokens or static roles creates a "user blind spot." The intent-based role often ignores the specific user’s attributes. For example, if an agent has a "summarize data" intent, it might access the data the same way regardless of whether a CEO or an intern is asking.
What is “role/scope explosion," and how does Immuta avoid it?
Role/scope explosion occurs when you try to create a unique database role or Oauth scope for every possible permutation of a user’s job and an agent’s task. If you have 100 users and 10 agent "intents," you could end up managing 1,000 distinct roles/scopes. Immuta uses ABAC (Attribute-Based Access Control) to solve this. Instead of building a new role or scope for every scenario, Immuta uses a single policy that says, "Allow access if User.Region = Data.Region." It doesn't matter if there are 5 intents or 5,000; the policy remains the same, and the role is vended dynamically.
Is Immuta’s model harder to set up than mapping roles?
Actually, it’s much simpler to maintain at scale. With role-mapping access, you face a "linear maintenance" problem: every new permutation of access your agent gains requires a new set of roles and mappings. With Immuta’s ABAC, you set your global data policies once. Whether you add 1 agent or 100, they all automatically follow the same enterprise guardrails without a single additional database role being manually created.
Will Immuta support intent-based authorization?
Yes. While others use "Intent" as a replacement for robust access control, Immuta is building a concept of intent intersection. Soon, you will be able to define a specific intent for a task, and Immuta will automatically calculate the intersection of that intent and the user’s actual ABAC permissions. This provides a double-lock system: the agent is limited by what it is trying to do and what the user is allowed to see.
How do you prevent “prompt injection" from gaining unauthorized data access?
Because Immuta’s authorization is deterministic, not probabilistic, it doesn't matter what the prompt "tells" the LLM to do. The agent is bound by a vended database role that is physically restricted at the data platform level (Ex: Snowflake or Databricks). Even if a malicious prompt "convinces" an agent to try and drop a table, the underlying database role simply won't have the permission to execute that command.
Is there an audit trail for what the agent did versus the user?
Yes. One of the biggest risks in agentic workflows is the loss of attribution. Immuta maintains a dual-identity audit log. Every query executed by an agent is tagged with both the agent ID and the end-user ID. This provides complete visibility into who authorized the action and which autonomous system carried it out, meeting the strictest compliance requirements for financial and regulated industries.
How does the agent know what it is allowed to query?
Immuta allows you to set delegated access policies that act as a "governance filter." By decoupling these permissions from the underlying physical database, the agent is restricted to a specific, safe sandbox. This allows developers to scope exactly which tables or views an agent can interact with on behalf of a user, preventing the agent from accidentally accessing sensitive data it doesn't need for its core function.
Is there a “kill switch" for agentic access?
Yes. Because Immuta vends short-lived, ephemeral roles, security teams have centralized control. Since the agent’s access is tied to a specific vended session rather than a permanent API key, you can revoke access or update policies in Immuta, and have that reflected immediately across all active agentic workflows without needing to rotate credentials in the database.

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