With sensitive data sprawling across your IT environments, securing it all has become overwhelming. Security should empower your organization to innovate, not slow you down. For years, data loss prevention (DLP) has over-promised and under-delivered. Customers invested in tools meant to protect their data but ended up frustrated: too many false positives, no real enforcement, and endless manual work. Security teams felt burdened, leadership felt exposed, and trust in DLP evaporated. Even newer approaches to data security leave companies unsatisfied, with critical gaps still unresolved.
Clearly, there’s an urgent need to change the approach to data loss prevention.
In a hybrid IT environment, the ability to prevent unauthorized movement of sensitive data, whether in motion or in use, through automated, risk-based policy enforcement is crucial for maintaining data security and integrity.
Understanding your data and its real-time location is crucial. MIND simplifies this process for you and your end-users with an automated, multi-layer classification engine that discovers sensitive data, providing a complete data inventory and revealing blind spots. This ensures your data information is always current and accurate.
MIND is the first comprehensive, AI-powered Data Loss Prevention (DLP) platform that automates the entire lifecycle. It discovers, classifies, detects, remediates, manages policies, and prevents data security issues across SaaS, on-premises file shares, endpoints, and emails. Unlike other point tools or repackaged legacy platforms, MIND offers more than just visibility; it delivers stress-free DLP.
Suridata is a SaaS Security Platform that provides:
Automatically discover sensitive data:
Gain a complete data inventory and uncover blind spots
Comprehensive visibility:
Monitor your IT environments, including SaaS and Gen AI apps, on-prem file shares, endpoints, and emails
Real-time insights:
Track data location, user access
behavior, and potential vulnerabilities.
Classify diverse sensitive data types:
Achieve unprecedented precision in classifying corporate files
Minimize false positives:
Focus on real security incidents by reducing false positives to nearly zero.
Context and prioritization:
Use an orchestration engine to understand risk severity and prioritize what matters.
Remediate issues with sensitive data at rest:
Address data at rest like no other DLP.
Prevent unauthorized data movement:
Stop unauthorized movement of sensitive data in motion and in use with automated, risk-based policy enforcement
Collaborate and educate:
Work with users instantly to mitigate risks and educate them on your policies.
It’s natural to be skeptical, given past promises that have fallen short. However, MIND is different. Designed from the ground up in the AI era, MIND addresses the core challenges of legacy DLP. Customers experience value within hours, not months. Automated remediation reduces exposure without the need for additional staff and reduction in false positives restores confidence in security alerts. Plus, a single platform replaces multiple tools, cutting costs and reducing complexity.
