Data governance platform illustration representing enterprise data management and access control
Platform
/
Govern

Govern centrally,
enforce globally.

Define policies easily, and enforce them instantly across all your data platforms. No coding, no role sprawl, no policy gaps, and no slow-down of performance.

Natively
enforced.

Immuta applies policy-based access controls natively in each data platform, controlling data at the moment it’s accessed, inside the system that serves it. You get real-time, consistent, governance without gaps, duplication, or role sprawl.

  • Platform-Native Enforcement
  • Across All Platforms
  • No Performance Slowdown
The Govern Workflow
01
Register
users.

Connect your identity systems to create policy-ready identity metadata.

02
Prepare
your metadata.

Ingest and classify metadata while identifying sensitive data and risk tiers.

03
Author
policies.

Define policies to govern how your data is accessed and used.

04
Enforce
everywhere.

Activate policies and enforce them instantly across all data platforms.

01
Register users.

Register Users
(Human and AI)

Connect to leading identity and IGA providers like Okta, SailPoint, and Microsoft Entra ID to register humans and AI agents in Immuta. Immuta uses their identity metadata — attributes, groups, and entitlements — alongside policies to make precise, real-time access decisions.

Centralised identity and access management integration connecting Okta, SailPoint, Microsoft Entra ID and ServiceNow to Immuta

02
Prepare your metadata.

Data Identification and Classification

Scan tables, files, and other data assets using regex or AI-based logic to detect sensitive information, including direct identifiers and indirect identifiers that could reveal someone’s identity when combined with other data. Immuta then recommends classifications — such as risk tiers — to create policy-ready data.

Healthcare data classification table showing patient identifiers, clinical records and HIPAA compliance tags

Data Domains

Group data assets into domains that reflect how your business actually operates. Domains make it easier to assign ownership, scale governance, and apply the right policies in the right business context.

Data governance domain policies for EU clinical trials covering PHI masking, access approvals and auditing

03
Author policies.

No-Code Policy Authoring

Immuta’s natural language policy editor allows non-technical users to author the full range of Immuta policies — subscription policies, enterprise guardrails, or fine-grained controls — without code. This frees up technical teams, and makes policies clear and understandable for everyone.

Data masking policy configuration interface for restricting access to sensitive personal health information

Flexible Policy Types

Apply the right level of control for every access scenario. Guardrail policies set non-negotiable limits, blocking unsafe access upfront. Subscription policies determine who can request access. And data policies govern data visibility through row-level restriction, column-level masking, purpose-based controls, and more.

Data governance policy hierarchy showing guardrail, subscription and data access policies protecting a data asset

Intent-Based Access Controls

Define the specific purposes or projects that allow access, and tie data use to those intents. Humans and AI agents can only access data for approved intents, with clear guardrails and accountability.

Data access approval workflow showing permitted and denied user requests based on business intent

Policy Recommendations

Immuta AI analyzes access patterns and data context to recommend smart policies that reduce request volume, and automate low-risk access. It also suggests policy-ready metadata, classifications, and tags.

Automated data access policy recommendations for medical researchers and fraud analysts using de-identified and masked data

04
Enforce everywhere.

Instant Enforcement

Immuta enforces policies instantly and natively in all your data platforms. Access controls, masking, and redaction are applied in real time without delays, manual updates, or gaps in enforcement. A unified audit trail provides complete visibility across all your data platforms.

Unified data governance policy activation across Snowflake, Databricks, AWS and other data platforms with centralised auditing