Provides a data security platform that automates data loss prevention (DLP) and insider risk management (IRM) by continuously discovering, classifying, and monitoring sensitive unstructured data across IT environments. It reduces the risk of data breaches by real-time detecting, contextualizing, and autonomously remediating data leaks, enabling organizations to protect critical information with minimal manual intervention.
Funding
$11M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
+5Founders
Product
Problem
Organizations face increasing challenges in protecting sensitive unstructured data across diverse IT environments, including SaaS applications, GenAI tools, endpoints, on-premises file shares, and email systems. Traditional data loss prevention (DLP) and insider risk management (IRM) solutions often require significant manual intervention, struggle with the volume and complexity of unstructured data, and lack the contextual awareness needed for effective risk mitigation. This leads to data breaches, compliance violations, and financial losses.
Solution
MIND offers a data security platform that automates DLP and IRM by continuously discovering, classifying, and monitoring sensitive unstructured data. The platform leverages a multi-layer AI classification engine to analyze data security events in real-time, providing context-aware risk assessments. MIND proactively identifies data risks, risky users, and suspicious behaviors, enabling organizations to focus on the most critical threats. The solution autonomously prevents data loss, collaborates with users to remediate risks, and educates on security policies, reducing the risk of data breaches and minimizing manual remediation efforts.
Target Audience
The primary target audience includes security teams and IT professionals responsible for data protection, compliance, and insider risk management in organizations of all sizes.
Features
- Continuous data discovery and classification across SaaS applications, GenAI tools, endpoints, on-premises file shares, and email systems
- Multi-layer AI classification engine for accurate data categorization beyond regex pattern matching
- Real-time monitoring and analysis of data security events with contextual enrichment
- Proactive risk assessment and prioritization based on data sensitivity, user behavior, and suspicious activities
- Automated data loss prevention with real-time blocking and user collaboration for remediation
- Integration with Google Cloud Marketplace for streamlined deployment
- Unified platform for data security posture and data loss prevention