Defending Databricks: Strengthening Your Data Security Posture with Cyera

Databricks is a powerhouse for data engineers and scientists, but it can also increase the complexity of safeguarding sensitive information. The sheer amount of data and diverse use cases can strain traditional security approaches. 

A strong Databricks security posture requires clear data visibility into the labyrinth of pipelines and collaborative workspaces. You need to know what data you have, where it resides, and what security measures are in place. 

Cyera for Databricks specifically addresses these challenges, enabling you to strengthen your data security posture without disrupting the data analysis workflows that Databricks users depend on. By automating data discovery and classification at scale, Cyera helps organizations quickly gain control over their Databricks data, providing protection for sensitive information without operational overhead.

Cyera Enables Data Security Fit for the Databricks Era

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In the age of data, visibility is everything. Cyera automatically discovers and classifies Databricks data with high precision, at scale and with speed–regardless of where your Databricks accounts are deployed. With Cyera for Databricks, you can see:

• Data categories (personal, health, financial, etc.)
• Data elements (credit card number, passwords, email accounts, etc.)
• Learned data elements (loyalty membership ID, transaction number, employee ID, patient name, etc.)
• Context (location, identifiability, data subject type, etc.)
• Data sensitivity
• Number of records
• Security configurations
• Security issues

Cyera for Databricks operates at scale, so even as your Databricks environment grows, your data security posture strengthens alongside it. This level of visibility offers data security teams the clarity they need to make prioritized, risk-based decisions. It also opens the door to new data analysis opportunities. After all, you can’t analyze what you can’t see. 

Let’s look at a few examples. ‍

Enabling Data Compliance in Databricks

‍Many healthcare providers rely on Databricks to run complex models that predict patient outcomes and streamline operations. This data is highly sensitive Protected Health Information (PHI) governed by HIPAA. And with all this PHI, maintaining visibility across these large datasets is nearly impossible. Cyera scans Databricks to discover and classify all types of sensitive health data, such as health information releases, medical test results, and patient medical records. 

With Cyera for Databricks, you can also automatically assess your data security and compliance risks at scale. This is done through built-in policies that flag issues, providing security teams a clear, prioritized path to a stronger data security and compliance posture–all without slowing down critical data analysis that the business depends on. 

What makes this integration particularly valuable for industries like healthcare is the automation it provides. Cyera’s built-in policies assess your Databricks environment for compliance risks, automatically flagging issues before they become regulatory violations. This greatly reduces the manual workload for compliance across HIPAA, the GDPR, PCI DSS, and more.

Mitigating Data Risk Relating to Databricks

‍In the financial sector, firms use Databricks to analyze massive datasets with highly sensitive financial data, such as credit reports, routing numbers, credit card numbers, loan summaries, or even wire transfer instructions.

For example, security teams using Cyera can find financial data in Databricks, interpret its data sensitivity, and flag issues, such as exposed personal financial information or non-compliant data storage practices. Mitigating these risks empowers organizations to demonstrate regulatory compliance, avoid costly breaches, and secure critical financial data without hindering innovation.

Protecting Data to Drive Innovation

‍Consider a software company that uses Databricks to analyze customer data. These analytics represent billions of dollars in intellectual property and generate valuable insights that drive product development. However, they require sensitive customer data to work. 

Cyera can pinpoint sensitive customer information in Databricks and offer full context on data residency, sensitivity, datastore security configurations, and more. This visibility helps security teams keep customer data protected, allowing R&D teams to leverage Databricks to its maximum potential. 

The above examples are only a few of the many ways Cyera can help secure Databricks. Of course, Cyera works with companies across every industry to improve their data security posture.

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Illuminating Your Databricks Environment with Cyera

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The intersection of data security and data analytics is where modern enterprises will find their competitive edge. Yet when the velocity of data outpaces traditional security measures, it's imperative to have solutions that keep up. Cyera equips you with the capabilities needed to not only protect your Databricks data, but to leverage it confidently. This enables you to weave data security into every layer of your analytics journey.

Cyera for Databricks scales with your organization to enable a strong security posture even as your data volumes grow. By automating critical tasks like data discovery, classification, and risk assessment, Cyera allows security teams to focus on strategic initiatives and prioritize response to threats. 

Are you ready to gain visibility into your Databricks environment? Request a demo today.