Data Security for AI

AI should work for you – not the other way around.

Harness the power of AI and customize it to your organization’s needs – without exposing sensitive or unauthorized data. Immuta allows you to automatically enforce policy and monitor usage, so you can scale the production of RAG-based generative AI applications while managing risk and maintaining compliance.

RAG is the key to enterprise AI applications.

Organizations are using retrieval-augmented generation (RAG) to tailor their AI applications using their own data – but they still need to manage risk. Unifying data discovery, policy enforcement, activity monitoring, and auditing in a single, integrated plane makes it easy to mitigate risk without slowing the pace of AI innovation.

Customize AI – without adding time, money, or risk.

Stay on top of how data is used for AI workloads – from discovery to auditing – by controlling access at the data layer.

Find and organize data effortlessly

Onboard RAG indexes and storage platforms, and easily integrate them as new data sources. Define classifications on row-level data and manage converged metadata – all with just a few clicks.

Control data consistently across platforms

Define access controls at the data layer, so that policies are enforced when data is queried. Individual business domains can create their own policies, and expand them across Snowflake and Databricks.

Easily meet compliance standards

Monitor data access queries in real time, and get proactive alerts about unusual behavior so you can address it immediately. With a single view of activity across platforms, you can audit usage with confidence.

How does AI security and governance operate across the Immuta Platform?

With Immuta, implementing AI applications and scaling adoption is fast, easy, and cost effective. A full suite of integrated capabilities means you can discover data, enforce policy, and monitor activity, at both the enterprise and domain levels.

Metadata Registry

Metadata Registry

Data classification adds detailed, consistent metadata about connected data sources and products to the metadata registry.

Metadata Registry

Policy Entitlement Engine

Consistent access policy enforcement relies on standardized classification for data and data products.

Policy Entitlement Engine
Unified Audit

Unified Audit

Accurate data classification powers visibility into who is accessing what data across specific domains or across the entire organization.

Unified Audit
Data Domains

Data Domains

Local data owners within data domains rely on dynamic data discovery and classification to ensure accurate control and access approvals across their data.

Data Domains

Download the AI Security and Governance report.

Get the report