Skyflow

Identify sensitive data elements (PII) within the AI workflow.

Tokenize or mask the sensitive data using Skyflow's data privacy vault.

Process the tokenized data in the AI models.

Retrieve the original data by detokenizing it within the secure vault, ensuring no PII is exposed outside the vault.

Integrate Skyflow's vault with the payment processing system.

Tokenize credit card data upon entry into the system.

Store the tokenized data instead of the actual card numbers.

Use the tokens for payment processing, keeping sensitive data out of the environment.

Configure Skyflow to store data in specific geographic regions based on data residency requirements.

Automatically route data to the appropriate vault based on the user's location.

Ensure that data never leaves the designated region without proper authorization.

Regularly audit data residency configurations to maintain compliance.

Identify all Protected Health Information (PHI) within the system.

Use Skyflow to tokenize or encrypt the PHI data at rest and in transit.

Implement granular access controls to limit access to PHI only to authorized personnel.

Regularly audit access logs and security measures to ensure ongoing compliance.

Apply polymorphic encryption to sensitive data before it is used in analytics.

Allow data scientists to perform analytics on encrypted data.

Ensure that the original data remains protected within the vault.

Generate insights and reports without compromising data privacy.