About MIND

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.

```xml <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. </problem> <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. </solution> <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 </features> <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. </target_audience> ```

What does MIND do?

Where is MIND located?

MIND is based in Seattle, United States.

When was MIND founded?

MIND was founded in 2023.

How much funding has MIND raised?

MIND has raised 11000000.

Location

Seattle, United States

Founded

2023

Funding

11000000

Employees

33 employees

Major Investors

YL Ventures

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MIND

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Executive Summary

mind.io 700+

Crunchbase

Founded 2023 – Seattle, United States

Funding

Estimated Funding

$10M+

Major Investors

YL Ventures

Team (30+)

No team information available.

Company Description

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.

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

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.