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Beyond DLP: Guide to Modern Data Protection with DSPM

In this whitepaper, you will learn about:

  • Why traditional DLP fails in cloud & AI era
  • Critical limitations of legacy data security tools
  • Cloud data security with DSPM
  • Securing sensitive data in AI workflows with DSPM

DOWNLOAD WHITE PAPER

Legacy DLP is built for a different era, leaving 82% of your data in multi-cloud environments vulnerable. Legacy classification methods and security blind spots in the cloud contribute to cloud-based data breaches, with average costs hitting $4.88 million.

This white paper reveals the critical shortcomings of legacy data security approaches.Learn how DSPM provides comprehensive visibility, intelligent classification, and robust controls to enhance data security, ensure compliance, and mitigate AI data risks.

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Beyond DLP: Guide to Modern Data Protection with DSPM

Award-winning technology, built by a proven team, backed by confidence. Learn more.

Frequently Asked Questions (FAQs)

Traditional Data Loss Prevention (DLP) tools struggle with dynamic cloud environments and AI workflows because they lack real-time visibility, contextual awareness, and scalability.

Legacy tools often lack deep data discovery, classification, and governance capabilities required for modern, distributed data environments especially across multicloud and AI pipelines.

Data Security Posture Management (DSPM) enables continuous monitoring, discovery of shadow data, risk assessment, and policy enforcement to secure sensitive data across cloud platforms.

DSPM ensures sensitive data used in AI training and inference is properly classified, monitored, and governed. This helps prevent data misuse and compliance violations.

Yes, DSPM provides automated mapping of sensitive data, context-rich insights, and controls that align with compliance mandates like GDPR, CCPA, HIPAA, and more.

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