’s estimated that the total amount of data is expected to reach 59 zettabytes this year with 90% of that data created in the last two years alone. With such an exponential increase in data, companies are racing to protect the data they maintain and regulatory initiatives like GDPR and the California Consumer Privacy Act are formalizing standards.  BigID is the data intelligence platform that leverages advanced machine learning and automation to allow customers to seamlessly protect sensitive data, be compliant will data privacy laws, and ensure compliance with data sharing requirements.   The company offers a foundation product that provides companies with visibility of all their data across the data landscape and additional apps provide added intelligence and specialized insight into privacy, protection, and perspective.

AlleyWatch caught up with Cofounder and CEO Dimitri Sirota to learn more about the data protection ecosystem the company has built, its future plans, and recent round of funding, which comes at a $1B valuation and brings the total funding raised to $216.1M for the company founded in 2016.

Who were your investors and how much did you raise?

This was our Series D round. Salesforce Ventures and Tiger Global co-led the round with participation from Glynn Capital and existing investors Bessemer Venture Partners, Scale Venture Partners, and Boldstart Ventures.

Tell us about the product or service that BigID offers.

BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective.  Customers deploy our product to proactively discover, manage, protect, and get more value from their regulated, sensitive, and personal data across their data landscape. Our ML-based data discovery foundation helps organizations know their data across their entire data landscape (from mainframe to cloud to on-prem), and our app framework lets you action that data – we have apps for privacy, security, and governance that range from a data risk app to a data retention app to a data remediation app and more.

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