Use Case

Secure Data Sharing & Collaboration

What is Data Sharing & Collaboration?

Data sharing is the process of provisioning information from one party to another, either internally, externally, or via a data exchange platform.

In an interconnected world, sharing and collaborating on data sets is essential to achieving real-time analytics, faster innovation, cost efficiencies, and stronger partnerships. Ensuring data is shared securely so that it is used appropriately on the receiving end is a key responsibility of modern data teams.

The Data Sharing Challenge

Data analytics rarely occur in a vacuum. Analysts collaborate and share scripts, dashboards, and models as they attempt to extract value from data. However, most controls protect only the raw data, and fail to consider the security implications of production-level data. The downstream impacts could open organizations up to increased risk and compliance violations that may go unnoticed until it’s too late to mitigate them.

Gartner has predicted that “organizations that promote data sharing will outperform their peers on most business value metrics,” but it remains a challenge for organizations that lack the right tools and oversight. Particularly in highly regulated industries, like financial services and healthcare, balancing the need for speed with the need for privacy can hinder tasks ranging from trading analytics to public health interventions.

Advanced Data Masking Capabilities

Immuta’s dynamic data masking capabilities and privacy enhancing technologies (PETs) ensure that data remains secure in transit and at rest, no matter where it lives. Re-identification techniques such as format-preserving encryption and k-anonymization allow you to collaborate on sensitive data while ensuring that it does not end up in the wrong hands.

Purpose-Based & Equalized Permissions

Immuta restricts access based on a range of attributes, including intended purpose. You're prompted to acknowledge an approved reason for accessing a data set, providing a high degree of transparency and auditability. Additionally, permission equalization ensures that everyone collaborating on data has equal accessibility, reducing risk of overexposure while saving weeks or months of data cleansing time.

Fingerprinting for Enhanced Data Integrity

Data fingerprints allow teams to take snapshots of data over time so they can understand how policies have impacted downstream data, analytics, and dashboards. With respect to data sharing and collaboration, this helps ensure data quality and integrity, while making it easier to audit how data is used once it has changed hands.

Immuta Detect Risk Scoring

Data Sharing at J.B. Hunt

By centralizing and automating data access control and auditing, J.B. Hunt was able to accelerate data science productivity and collaboration, resulting in a 100% increase in permitted use cases for cloud analytics.

“We now have a single, secure source of truth to run our business on. Databricks and BigQuery allow us to show the true value of our data to the company and Immuta allows us to do it securely and in full compliance. To top it off, we’re saving huge amounts of time and money in the process.”

Ajay Sahu
Ajay Sahu Director of Enterpise Data Governance
Immuta Features

The Immuta Advantage

Immuta provides innovative solutions to accelerate secure data sharing and collaboration while maintaining compliance.

Purpose-Based Access Control

Ensure that data is shared and accessed for a clear, approved reason by building purpose-based restrictions into data access policies.

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Immuta Projects

Easily share data outputs, models, and dashboards freely and without worry by creating a dedicated project and sharing it with approved collaborators.

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Plain Language Policy Authoring

Write policies in plain language so all security and governance stakeholders can understand and manage them, no technical expertise required.

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Dynamic Data Masking

Protect data privacy in transit and at rest by implementing advanced masking and privacy enhancing technologies like obfuscation and k-anonymization.

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Continuous Data Monitoring & Threat Detection

Understand your risk profile and monitor user activity so you can proactively detect and respond to anomalous behavior and potential threats.

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On-Demand Audit Reports

Simplify the process of proving compliance with regulations and data use agreements with the ability to generate audit reports at any time.

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Benefits of Data Sharing with Immuta

Without Immuta With Immuta
Lack of secure sharing capabilities create data silos
Increase productivity by 100x by enhancing cross-functional collaboration

Inability to share data slows speed to insights and results
Accelerate speed of innovation and deliver data products 5x faster

Data sharing restrictions limit how data can be used
Unlock 300% more use cases by securely operationalizing sensitive data

New policies are needed for each data sharing scenario
Simplify operations by reducing data policy burden by 93x

Frequently Asked Questions

What are the benefits of data sharing?

One of the primary benefits of data sharing is that it facilitates data-driven decision making across teams, business units, organizations, and industries. Sharing data also improves data quality, as a wider range of information can be compiled and analyzed, which increases accuracy of insights. The benefits of data sharing also impact business outcomes by accelerating time-to-insights, research, and/or analysis, and fostering a more collaborative approach to solving problems and achieving objectives.

What is a data sharing agreement?

A data sharing agreement is a contract between two or more parties that outlines the parameters of data sharing and usage. It often includes stipulations around what kind of data is involved, how it will be used, how long it will be shared for, who should have access to it, confidentiality requirements, and a financial cost involved. By creating a data sharing agreement, organizations are able to protect themselves from being implicated in data leaks, breaches, or other misuse of the shared data. If the agreement is broken, the guilty party could face legal and financial consequences.

What is a data clean room?

A data clean room is a repository where teams can aggregate vast amounts of anonymized data for mutual benefit. You can use data anonymization tools to strip data of any identifying factors that could trace it back to the individual who generated it. The data can then be analyzed to garner insights without risking the exposure of personal information. Data clean rooms are particularly useful for B2C companies like streaming services and social media platforms in order to share user data with advertisers without violating user privacy.

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