Data security for
Google BigQuery.

The Immuta native integration with Google BigQuery automates data discovery, security, and monitoring, so you can put your BigQuery data to work faster – without worry. Data-driven organizations rely on Immuta to secure and govern their BigQuery data at scale, so they can collaborate, innovate, and drive results faster.

Immuta impact

Access and share BigQuery data at scale.

With Immuta for BigQuery, you can:

Simplify operations

Simplify operations.

Accelerate and simplify operations with 93x fewer data policies.

Improve data security

Improve data security.

Improve data security across hundreds of thousands of tables.

Unlock data’s value

Unlock value.

Unlock the value of your data with 100x faster access.

Key Capabilities

How Immuta works with BigQuery.

Google BigQuery provides serverless analytics at a low cost and large scale. Paired with Immuta, you can put BigQuery data to work faster, without worrying about security concerns. Immuta’s native integration with BigQuery is easy to use as a SaaS deployment, with zero overhead or hits to performance.

Discover and Classify
Sensitive Data

Discover and classify

sensitive data.

  • Centralize data policy management.
  • Discover and classify sensitive data from millions of BigQuery tables.
  • Easily tag data, such as PII and PHI.
  • Apply 60+ prebuilt classifiers, alongside domain-specific and custom classifiers.
  • Monitor for schema and user changes.
  • Integrate and sync user information from your IAM.
Secure and Govern
Snowflake Data

Secure and govern

databricks workloads.

  • Orchestrate data policies across BigQuery tables.
  • Build policies in plain language or as-code.
  • Enforce policies in real time when queries are run.
  • Enable attribute- and purpose-based access control.
  • Reduce policy complexity and eliminate role explosion.
  • Reduce policy complexity and eliminate role explosion.
Monitor Activity and
Detect Threats

Monitor activity and

detect threats.

  • Enable data security posture management via an analysis engine.
  • Easily analyze data’s sensitivity level and risk profile.
  • Receive timely insights into data and user activity.
  • Proactively identify and remediate risks.
  • Generate audit reports to prove compliance.
  • Manage policy versions and change audits.
Use cases

Put BigQuery data to work with Immuta.

The Immuta native integration with BigQuery allows you to maximize your Google Cloud investment by taking the complexity out of data sharing, access governance, and regulatory compliance.

Data sharing and data marketplaces.

When it comes to getting value from data, sharing data products – particularly within data marketplaces – is essential. However, most controls protect only the raw data, and fail to consider the security implications of production-level data. Immuta provides critical capabilities to enable enterprise data sharing, as well as infrastructure to publish data products and collaborate on them in data marketplaces – so your BigQuery data is accessible and shareable by the right people.

Data access control and governance.

In today’s hybrid and multi-cloud architectures, each provider has its own native access controls. This makes it difficult to govern data use across multiple systems, multiplying the risks, costs, and maintenance as new platforms are added. Immuta centralizes policy management and orchestrates enforcement across BigQuery and any other connected platform, so you can accelerate data delivery, simplify administration, reduce risk, and quickly put data to work.

Regulatory compliance.

As data rules and regulations rapidly grow and expand, Immuta allows you to create attribute- and purpose-based restrictions – in plain language or as-code – so any stakeholder can achieve and validate compliance with regulatory requirements such as GDPR and CCPA. Immuta also monitors user activity and provides detailed audit logs, so you can easily prove compliance or investigate incidents.

Ready to get started with
BigQuery and Immuta?