![]() A new approach that analysts call data security posture management (DSPM) specifies a cloud-native platform that integrates five key capabilities for achieving cloud data security.ĭata discovery – Discovery capability answers the question, “Where are my sensitive data?” DSPM continuously monitors and discovers new data stores. Some of these are cloud-native, but many operate in silos that resist automatically doing vital tasks for security. Unique challenges of securing sensitive cloud-resident data have spawned a new crop of tools. ![]() Automating a modern process for cloud data security It’s why every organization should consider implementing a modern, data-first process for visibility and control of cloud data security posture. Whatever the reason for exposure, cloud-resident sensitive data must be discovered and protected 100 percent of the time. Sensitive data exposure may also be accidental. Unprotected shadow data stores can appear via unsanctioned DevOps processes driven by constant experimental forays of CI/CD coding. ![]() AI/ML modeling, while beneficial, also fuels risky use of more data stores without strict controls of production data. For example, a blizzard of new microservices-based apps and virtual infrastructure spun up and down in seconds co-mingles an equally deep tangle of potentially unprotected data sources. Data sprawl is a symptom of its pervasive vitality. ![]()
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