Cloud data is becoming critical to enterprises as businesses are getting more data-driven. However, data breaches and exfiltration attacks are also on the rise. Cloud security tools exist, and cloud providers provide controls, but there are too many issues flagged and too little context of how data is being secured.
Data and access are critical assets that every business needs to protect. Building security that does not align to understand how data and access can be protected becomes another project in an organization that needs more attention, and ROI justification is always tricky.
Data-centric cloud security is securing the cloud with data context driving security and protection controls. An enterprise that adopts a data-centric approach will first get to see where the most critical or sensitive data exists within the cloud deployments. Once the key jewels are known, access to these data assets and the risks exposed to the critical data can be prioritized. Data-centric cloud security puts data context as a pivotal pillar to drive cloud security outcomes. Every enterprise data surface has complexities that can be knit together to create the proper understanding needed to secure cloud data.
To conclude, a data-centric cloud security approach starts with data first, enabling enterprises to understand every data asset's contents and impact. Tying back the access and security controls to enhance the visibility of the data surface helps build a complete picture of the data context. Associating the quantifiable impact of every data risk and vulnerability is an approach to looking at cloud security problems inside-out, with data context driving the solution.
Theom is a cloud data protection platform specialized for cloud stores like Snowflake, Databricks, AWS, Azure, and GCP. Theom enables enterprises to align security controls to protect their data against data breaches in a data-centric manner.
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