Identify and Protect PII in Databricks

Databricks data security at your fingertips
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Protect and freely share your Databricks data,while protecting PII 

Protecto's data privacy intelligence identifies privacy risks by factoring usage, access, sensitivity, and risk associated with your Databricks instance - in just a few clicks. 

Data privacy platform built for data teams

Finding data privacy risks in an enterprise is a complex, and time-consuming effort. Protecto Data Privacy Intelligence identifies risks associated with enterprise data by factoring usage, access, sensitivity, and risks associated with enterprise data - in just a few hours.​

Reduce unused data

Over 80% of enterprise data is typically unused. Reduce breach risks and privacy-related overhead costs by identifying and getting rid of stale personal data.​

Ready to see it yourself?

Getting started with Protecto is easy. Contact us to experience how Protecto can help you protect the privacy of your sensitive PII data in Databricks lakehouse for analytics and other critical workflows – all while simplifying and accelerating privacy compliance. 
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Easy Setup

Read-only access

Deploy as SaaS with no code setup

Pre-built Databricks connector

Non-intrusive & agentless

Identify and Classify PII

Find privacy risks and vulnerabilities

Discover overexposed personal data

Monitor activities & detect threats

Audit user permission and activities

Generate compliance reports

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Frequently asked questions
What is data tokenization in the context of Databricks Lakehouse? 

Data tokenization in Databricks Lakehouse refers to the process of replacing sensitive Personally Identifiable Information (PII) with randomly generated tokens. This technique helps protect the actual PII while enabling authorized users to work with tokenized data for analytics and processing.

How does data tokenization enhance Databricks data security? 

Data tokenization enhances data security in Databricks Lakehouse by ensuring that sensitive PII is not stored in its original form. Instead, only tokens are stored, reducing the risk of data breaches and unauthorized access to sensitive information.

Is data tokenization compliant with data protection regulations for PII? 

Yes, data tokenization is compliant with data protection regulations such as GDPR, CCPA, and HIPAA. By tokenizing PII, organizations can minimize the scope of sensitive data stored directly and improve their overall compliance data posture.

Can I still perform data analysis on tokenized data in Databricks Lakehouse? 

Absolutely. Tokenized data in Databricks Lakehouse can be used for data analysis, machine learning, and other processing tasks while preserving the privacy and security of the original PII.


Deliver privacy on Databricks in just a few clicks

We take privacy seriously.  While we promise not to sell your personal data, we may send product and company updates periodically. You can opt-out or make changes to our communication updates at any time.