Securiti announces a $75M Series C Funding Round
ViewAccording to IDC, by 2023, 102.6 zettabytes of new data will be created every year. Businesses are collecting and processing large amounts of data to make better decisions. Companies rely on cloud data warehouse products to analyze business data. One such product that has seen exponential growth in the last few years is Snowflake.
Snowflake is a cloud based data warehouse that is ideal for running large scale data analytics projects to uncover business insights, run or train machine learning models, and modernize their data infrastructure. That being said, there are certain challenges that come along with cloud migration to Snowflake.
Cloud data warehouses provide flexibility and scale allowing organizations to analyze large quantities of data helping making business decisions faster. However Global security regulations such as PCI, HIPAA, FERPA and privacy laws such as GDPR, CPRA require organizations to identify all sensitive and personal data, ensure data is used only for its intended purpose and implement adequate security controls to protect the data from breaches.
Since data arrives into Snowflake from several sources, administrators do not have visibility into what sensitive data is in Snowflake, whose data is it, and how many personal records are present. In short, organizations could be non-compliant without their knowledge, and if there was a data breach it could cause large penalties and fines based on jurisdictions and local laws.
Here are a few things organizations can do to reduce their privacy and security risks.
To learn more about how SECURITI.ai can help you automate your data privacy and security in Snowflake signup & watch a demo today!
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At Securiti, our mission is to enable enterprises to safely harness the incredible power of data and the cloud by controlling the complex security, privacy and compliance risks.
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