Data security posture management (DSPM) is emerging as a crucial complement to traditional data loss prevention (DLP) systems. While DLP aims to prevent sensitive data from leaving an organization, it often struggles with unclassified data, blind spots in visibility, and alert fatigue. DSPM addresses these shortcomings by discovering, classifying, and identifying risks associated with sensitive data across complex and distributed environments, thereby enhancing the effectiveness of DLP policies. AI
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IMPACT Enhances data security for AI models by ensuring the quality and integrity of training data.
RANK_REASON The article discusses a cybersecurity concept and its relation to existing tools, offering an opinion on how to improve data security.
