Identify & Protect PII in Snowflake

Snowflake data privacy and security at your fingertips
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Unlock and freely share your Snowflake data, while protecting PII

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

Step 1: Gain visibility on Snowflake data privacy risks

Gain instant visibility to the type, sensitivity, and amount of PII data in your Snowflake data warehouse.

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Step 2: Identify user activities in Snowflake

Obtain information on who has access to which sensitive data and remove unnecessary access.

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Step 2: Identify user activities in Snowflake

Obtain information on who has access to which sensitive data and remove unnecessary access.

Step 3: Find overexposed Snowflake data

Identify which data is excessively accessed and who has accessed the same. Monitor and remove unnecessary access as needed.

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Step 4: Tokenize sensitive PII in Snowflake

Keep sensitive PII data functional but non-identifiable by replacing it with tokens and safeguard your data from breaches.

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Step 4: Tokenize sensitive PII in Snowflake

Keep sensitive PII data functional but non-identifiable by replacing it with tokens and safeguard your data from breaches.

Ready to see it for yourself?

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

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Identify and Classify PII

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Monitor activities & detect threats

Sign up for a demo

Frequently asked questions

Snowflake PII refers to the Snowflake data that, either on its own or when combined with other information, has the potential to identify or be linked to a particular individual. Examples of such data include a person’s name, social security number, IP address, and physical address.

Here are some of the various ways you can protect Snowflake PII and sensitive data in Snowflake: ‍

  • Data Masking: Snowflake supports data masking, which allows you to redact or mask sensitive data when querying or reporting to non-privileged users. This way, sensitive information remains protected while still allowing legitimate data analysis.
  • PII Tokenization: You can implement an external tokenization solution such as Protecto to protect PII data. Before storing sensitive data in Snowflake, you can tokenize the data with non-identifiable tokens, thereby reducing exposure to your PII. The PII data can then be de-tokenized for authorized users.
  • Pseudonymization: It is the process of replacing identifying information with a pseudonym or alias to de-identify the data. For example, a name or social security number might be replaced with a unique identifier that is not linked to the original data.

By utilizing these features and following best practices, you can effectively protect PII and sensitive data within your Snowflake environment, ensuring data security and compliance with relevant regulations.

PII tokenization involves substituting original values with random values to enhance data security. In security-sensitive data stores like Snowflake, this technique is employed to replace sensitive data, such as personally identifiable information (PII) with tokens. This process significantly reduces security risks associated with handling confidential data in Snowflake.

To connect your Snowflake instance to Protecto,

  • Open the Protecto application URL and log in with the user details shared with you.
  • On the left navigation page, go to customize and data source page.
  • Go to add data source button and then add the Snowflake data source by filling up all the details
Read here to know more.

Once the configuration is completed, Protecto’s Privacy Intelligence platform:

  • Scans through your Snowflake data store to automatically create an inventory of the data
  • Scans all tables within the data store to determine/locate sensitive information
  • Segregates risk as per the type of personal and sensitive data
  • Identifies the extent of risks associated with your sensitive data

Resources

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.