Finding data privacy risks in an enterprise is a complex, and time-consuming effort that takes months involving a team of data engineers. Data breaches and privacy laws are requiring companies to have a better grip on which users have access to the data, and how the data is used. But enterprise data is complex, messy, and constantly growing so even if a team of engineers works for months, they will have a tough time isolating data privacy risk or finding ways to reduce them. Protecto applies privacy engineering, data analysis, and AI to automate the complex steps in the discovery of risks associated with enterprise data, allowing companies to get quick visibility into which users have access to the data, and how the data is used. Protecto’s Data Posture Intelligence identifies risks associated with enterprise data by factoring usage, access, and sensitivity associated with enterprise data in just a few hours. It helps companies to reduce their enterprise data surface and minimize costs associated with stored data by deleting or archiving unused data and regulate user access. Additionally, by taking actions to enable tighter control of access over their data environments, companies can minimize breaches and privacy violations and meet compliance needs faster.
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