Learn how Protecto's customers have reduced their privacy risks, and data surface.

Global asset management company reduces millions of dollars in privacy risks within its Databricks cloud datastore and ensures data governance. Saves two months in migration to Azure by identifying unused data.

Moving large volumes of data from data warehouses to a data lake is usually a gnarly process. So the CISO opts to migrate data to a safe, and private storage and reduce the risk of data breaches and theft.

Protecto provides unprecedented visibility into billions of rows of data with security and risk management controls. Also, the company gets granular visibility down to user access at both individual user and database table levels.

Protecto saved several months of work that the privacy team would have spent in analyzing and discovering data protection (potential GDPR) issues across one million files and tables. Our platform identified sensitive data. Our insight that 99% of the data was never used helped the customer reduce their data and associated risks tenfold.

Our solution helped a Silicon Valley consumer technology company with over 100M users. They were expecting to find ~20 data tables, but our solution found 5700 tables across their data lake. The data analytics team was surprised to see 92% of the data was stale that no one in the company was using it. Many of the stale data tables had personally identifiable information, posing a significant risk.

Finding data security and privacy risks in an enterprise is complex, time-consuming work. Our platform applies AI, data analysis, and privacy engineering to automate complex steps.