Use Case

Zero Trust for Data

What is Zero Trust Data Security?

Zero trust security is the digital embodiment of the “never trust, always verify” ethos. Instead of assuming that a data consumer is authorized to access data based on role, geography, or other metadata, a zero trust framework requires continuous verification and authentication. This bolsters security while reducing the potential for a data leak or breach.

The zero trust methodology has been adopted in sectors such as government and education, but is quickly gaining traction with private companies as well.

The Zero Trust Challenge

As zero trust security becomes more popular – and even mandated by executive order – organizations must balance the “always verify” principle with real-time data access. However, constant user authentication often creates bottlenecks and delays workflows, and implementing it across distributed cloud environments is complex and error-prone. A study of nearly 200 leaders found that 40% said data management is the top hurdle they face in implementing zero trust.

An effective zero trust strategy requires streamlining and automating data access control enforcement so that users are not constantly waiting for data. Legacy and manual approaches, like role-based access control, are simply not built for the speed, scale, and security needs of today’s environments.

Seamless Integrations with Leading Platforms

Immuta integrates with best-of-breed cloud data platforms like Snowflake and Databricks, as well as IAMs like Okta, to streamline metadata-based policy enforcement across systems. This eliminates the risk of inconsistent or duplicate policies, while ensuring that only authorized users can access data throughout the even the most complex environments.

Policy Authoring Made Easy

With Immuta, technical and non-technical stakeholders alike can author, manage, and evaluate policies in plain language – no SQL coding or technical expertise required. This improves communication across teams and provides visibility into how data is being protected. As a result, your governance and legal teams can easily audit data and prove compliance.

Self-Service Data Access at Scale

Immuta’s attribute-based access control (ABAC) dynamically grants or restricts access at query time, so only the right people are accessing the right data for the right reasons at any given time. Making access decisions based on multiple attributes at query runtime provides a scalable way to verify user authorizations without manual effort.

Immuta Features

The Immuta Advantage

Immuta provides innovative solutions to streamline data access control while maintaining a high degree of flexibility.

Separation of Policies & Platforms

Enforce access controls consistently and at scale across your entire tech stack by decoupling policy creation and management from individual platforms.

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Data Discovery & Classification

Automate discovery and classification of sensitive data across hundreds of thousands of tables, so you know where information lives and how to protect it.

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Seamless IAM Integration

Integrate Immuta with identity and access management (IAM) systems like Okta, so you can leverage IAM metadata to enforce policies and verify user authorizations.

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Attribute-Based Access Control

Leverage ABAC to dynamically make access decisions at query runtime, ensuring that only the right people are accessing the right data for the right reasons.

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Data Monitoring & User Behavior Analytics

Keep tabs on data and user activity with always-on monitoring, and receive real-time behavior analytics so you can proactively respond to threats.

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Auditing for Compliance

Ensure data access and use is compliant with all pertinent rules and regulations with easy-to-generate audit logs and activity reports.

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Power Self-Service Analytics with Zero Trust

Without Immuta With Immuta
New policies are needed for every data access scenario
Reduce policy burden by 93x

Lack of visibility into coverage for regulatory requirements
Achieve 100% auditable compliance

Continuous verification creates bottlenecks to data access
Accelerate data access by 100x

User verification restricts how many people can access data
Increase users accessing data by 10x

Frequently Asked Questions

How can I apply zero trust access controls?

Zero trust access controls enforce restrictions on all queries without becoming a blocker to real-time data use in zero trust architectures. Dynamic attribute-based access controls leverage metadata from IAMs and catalogs – which require regular re-verification – to make access decisions. This constant access management ensures that no user can access any resources without being properly vetted by the policies your team generates and applies.

What is a zero trust framework?

A zero trust framework is a data architecture built with the assumption that every endpoint could be a potential threat to data. Users require constant identity verification before being granted data access within the zero trust framework. These frameworks also require an understanding of all data in the ecosystem, dynamic access policies, and constant monitoring of database activity for misuse.

What are the key zero trust principles?

The key zero trust principles are as follows:

  • The core zero trust principle is to “never trust, always verify.” This principle assumes that every access request is a potential threat, and therefore applies intense scrutiny to all queries in the database.
  • Another zero trust principle is to assume that a breach will occur. With this mindset, teams can ensure that they are prepared to react to a breach, mitigating any potential damage.
  • A third zero trust principle is to follow the principle of least privilege, giving users access to only the data they absolutely need, nothing more.

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