You’re not alone: 78% of companies also struggle with their DLP

Modern security teams are overworked, under-resourced and constantly playing catch-up. Despite the best intentions – and budgets – data loss prevention (DLP) tools are falling short. And not just by a little.

According to The State of DLP report, a staggering 78% of organizations say it's challenging to administer and maintain their existing DLP solutions​. These are seasoned teams. Smart professionals. But the tools they’ve been given are outdated, fragmented and frustrating.

So if you're feeling like your DLP program is a patchwork of policies and products that never quite delivers, you're not alone.

Legacy DLP wasn’t built for today’s complexity, including the emergence of Gen AI and large language models (LLMs). These technologies expand the data security risk by introducing new vectors for leaking sensitive data and raising questions about data ownership and compliance. You’re juggling:

• Multiple point tools that don’t talk to each other
• Overlapping or conflicting policies
• Hours of manual work for investigation, tagging and remediation
• And yet… false positives still flood your dashboards

What’s worse? All that effort still doesn't stop sensitive data from leaking. In fact, organizations report an average of 4.2 known data loss events per year, even when they have multiple DLP tools in place​.

That’s because traditional DLP tools don’t accurately and comprehensively discover, classify or remediate sensitive data. Most DLP products enforce static policies, which are often ineffective. These solutions lack the context to differentiate between actual threats and benign activity, leading to a high volume of false positives. This lack of context, combined with a lack of automation, burdens security teams with manual investigation and remediation tasks, hindering their ability to respond proactively to real threats.

The data paints a clear picture:

• 92% of DLP alerts are false positives or ignored​
• Only 8% are actual issues that get remediated
• Security teams spend hours reviewing each alert only to find they are irrelevant

This alert fatigue leads to burnout. Time is wasted. Confidence erodes. And critical issues, like insider risk or data exfiltration, slip through the cracks.

DLP should work for you, not the other way around.

That’s why MIND reimagined data loss prevention from the ground up. Not as a patch or plug-in, but as a fully integrated, AI-powered data security platform that unifies discovery, classification, detection, prevention and remediation.

MIND delivers both posture and prevention to companies by providing them with complete visibility and understanding of their data landscape and the ability to enforce contextually-aware policies that support, not hinder, the business.

MIND goes beyond enforcement. It understands.

• Discover and classify automatically
  MIND AI is a multi-layer classification engine that identifies sensitive data across all environments, including Saas and Gen AI apps, on-premise file shares, endpoints and emails, without manual tagging or relying solely on regular expression (RegEx) pattern matching.
• Remediate data security issues autonomously
  MIND can autonomously discover and remediate issues with sensitive data at rest, such as PII, PHI, PCI, financial information, credentials and so much more.
• Context-aware, risk-based insights
  Alerts are enriched with context and prioritized by severity, so teams can focus on what really matters.
• Real-time protection and response
  MIND actively stops sensitive data leaks across data in motion and in use. And when a violation occurs, it can autonomously prevent, notify users or apply custom policies in the moment.
• Fewer tools, fewer policies, fewer headaches
  MIND consolidates functionality into a single, seamless data security platform, cutting out swivel-chair security.

And it doesn’t take an army to manage.

DLP is a challenge for most organizations. Conventional DLP tools are often fragmented, time-consuming and ineffective, leading to alert fatigue and missed threats.

The MIND platform offers a modern alternative. By automating discovery, classification, detection, prevention and remediation, MIND provides organizations with the visibility, control and confidence they need to protect their sensitive data.

You’re not alone. Don't remain stuck – MIND can help.

👉 Download the The State of DLP report
See what over 100 CISOs are saying about the future of data security – and how to finally make DLP work for you.