MIND™ today announced the release of The State of Data Loss Prevention – Current Struggles and Future Expectations. The report examines trends driving the need for data loss prevention (DLP) solutions to secure sensitive information from unauthorized access, leakage and theft, and key challenges as enterprise security teams struggle with outdated or incomplete tools. The report’s findings underscore the importance of modernizing DLP programs so that organizations can efficiently scale sensitive data visibility, classification, detection, remediation and loss prevention.
The report found that enterprise environments are more complex and data stores are exponentially growing, further exacerbating security team difficulties, such as maintaining and evolving DLP policies, dealing with a majority of alerts that are false positives and lack of resources to address and investigate every incident. In fact, 78% of organizations report being challenged in administering and maintaining existing DLP technology solutions and policies, and 94% report using at least two tools and, on average, more than three tools with DLP capabilities, resulting in significant man-hours to administer and maintain multiple solutions. Additionally, nearly all organizations (91%) said it is important to reduce alert noise produced by their current DLP controls due to simple, poor and outdated classification schemes.
These challenges highlight the importance of adopting a future-ready DLP strategy that autonomously discovers and classifies sensitive data that matter, proactively detects issues with a context-aware and risk-based approach and automatically prevents and remediates data leaks. By delivering on these modern capabilities, organizations can expect to experience unprecedented visibility and understanding of their data risks, simplified solution management, dramatic reduction of false positives and efficient data loss prevention and issue remediation.
The report’s key findings include:
- Persistent data leaks: Despite using multiple DLP tools, 53% of respondents reported two or more unstructured data loss events that they know of and, on average, more than four data loss events in the last 12 months. There were likely many more data loss events that are unknown.
- Lack of visibility and understanding of data risks: Organizations report that more than 73% of their unstructured sensitive data has not been discovered and classified, leading to potential data risk landmines and unknowns.
- Debilitating alert fatigue: Organizations are overwhelmed by DLP alerts, with 92% either deferred/left for inspection after 24 hours or false positives/not remediated. 47% of DLP alerts that are inspected within 24 hours are false positive.
- Administrative burdens: 68% of companies manage multiple DLP policy sets across their IT environments with disparate, siloed tools.
Download the full report here.
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This entry was posted on March 18, 2025 at 8:09 am and is filed under Commentary with tags MIND. You can follow any responses to this entry through the RSS 2.0 feed.
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MIND Reveals Traditional Data Loss Prevention Solutions Are Not Working for Most Organizations
MIND™ today announced the release of The State of Data Loss Prevention – Current Struggles and Future Expectations. The report examines trends driving the need for data loss prevention (DLP) solutions to secure sensitive information from unauthorized access, leakage and theft, and key challenges as enterprise security teams struggle with outdated or incomplete tools. The report’s findings underscore the importance of modernizing DLP programs so that organizations can efficiently scale sensitive data visibility, classification, detection, remediation and loss prevention.
The report found that enterprise environments are more complex and data stores are exponentially growing, further exacerbating security team difficulties, such as maintaining and evolving DLP policies, dealing with a majority of alerts that are false positives and lack of resources to address and investigate every incident. In fact, 78% of organizations report being challenged in administering and maintaining existing DLP technology solutions and policies, and 94% report using at least two tools and, on average, more than three tools with DLP capabilities, resulting in significant man-hours to administer and maintain multiple solutions. Additionally, nearly all organizations (91%) said it is important to reduce alert noise produced by their current DLP controls due to simple, poor and outdated classification schemes.
These challenges highlight the importance of adopting a future-ready DLP strategy that autonomously discovers and classifies sensitive data that matter, proactively detects issues with a context-aware and risk-based approach and automatically prevents and remediates data leaks. By delivering on these modern capabilities, organizations can expect to experience unprecedented visibility and understanding of their data risks, simplified solution management, dramatic reduction of false positives and efficient data loss prevention and issue remediation.
The report’s key findings include:
Download the full report here.
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This entry was posted on March 18, 2025 at 8:09 am and is filed under Commentary with tags MIND. You can follow any responses to this entry through the RSS 2.0 feed. You can leave a response, or trackback from your own site.