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Traditional Data Loss Prevention Solutions Are Not Working for Most Organizations

ID: 4a71435f-ea2a-59d4-80a0-e9870a2361fd

STIX ID: report--4a71435f-ea2a-59d4-80a0-e9870a2361fd

Feed Name: Dark Reading

Date Published: 2025-03-28

Date Updated: 2026-04-21

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**Executive summary:** This press release summarizes ESG survey findings commissioned by MIND showing enterprises struggle with outdated and fragmented DLP solutions—78% report challenges administering DLP, 94% use multiple DLP-capable tools, over 73% of unstructured sensitive data remains undiscovered, 53% experienced multiple data loss events, and organizations face severe alert fatigue (92% of alerts deferred/false or not remediated). The report recommends modernizing DLP with AI, automation, context-aware detection and autonomous remediation to reduce false positives, improve visibility and prevent data loss.

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