This S&P Global report highlights the rapid growth of cloud-native environments and the resulting explosion of distributed data, making sensitive data discovery and classification a top security priority. Despite strong interest, adoption remains limited due to manual implementation challenges and lack of scalability. Organizations now manage multiple copies of data across cloud and on-prem systems, with constant data movement increasing risk. The report emphasizes that traditional point-in-time security approaches are no longer sufficient, advocating for continuous, automated data visibility. By integrating AI-driven discovery and classification into DevOps workflows, organizations can better manage risk, improve compliance, and align security with the speed of modern development.

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