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mind.ioSeattle, Washington, United States
AI-native data security platform protecting sensitive data across environments.
MIND Security Inc. is an AI-native data security company that helps organizations protect their most sensitive data across all environments. The platform enables data discovery, classification, real-time detection, autonomous remediation and comprehensive prevention across SaaS, on-premises file shares, endpoints and email. Built to simplify data security at scale, it serves enterprises and teams deploying AI and digital workloads, focusing on data privacy, risk mitigation and brand protection.
Mission statement
To help organizations thrive in the AI era by protecting their most sensitive data, mitigating risks and preserving brand reputation.
Products & Services
MIND Platform
MIND protects sensitive data across multiple environments to minimize risks and enhance security compliance.
mind.io/product- ✓ Autonomous Policy Tuning and Remediation — Streamline Policy Management
- ✓ Data Detection and Response — Real-Time Signal Analysis
- ✓ Data Discovery and Classification — Comprehensive Data Visibility
- ✓ Loss Prevention and Remediation — Proactive Risk Management
- ✓ Automatic Data Cataloging — Creates Comprehensive Data Inventory
- ✓ Multi-Layer AI Classification — Ensures Precise Classification
- ✓ GenAI Data Security Coverage — Enhanced Security for AI Tools
- ✓ Context-Aware Risk Analysis — Evaluates Risk Levels
- ✓ Real-Time Data Interaction Monitoring — Provides Immediate Risk Alerts
- ✓ Continuous Monitoring — Always-On Protection
- ✓ LLM-Based Data Understanding — Identifies Unique Data Types
- ✓ Seamless Integration — Simplifies Deployment Process
MIND AI DLP Agents Solution
Automates data security tasks, enabling teams to focus on strategy and innovation.
mind.io/solutions/mind-ai-dlp-agents- ✓ Custom Classifier Agent — Automate Data Classification
- ✓ Issue Investigator Agent — Simplify Policy Creation
- ✓ Policy Producer Agent — Enhance Incident Response
- ✓ Rapid Response Agent — Immediate Remediation
- ✓ Reason Reviewer Agent — Streamline Exception Management
Purview and MIND integration Solution
Enhance Microsoft Purview's effectiveness with MIND's comprehensive data context and automation.
mind.io/solutions/purviewandmind- ✓ Automated Labeling Integration — Streamline Labeling Process
- ✓ Context-Aware Prevention — Increase Data Protection Accuracy
- ✓ Data Content and Context Before Governance — Improve Governance Operations
- ✓ Full Environment Visibility — Achieve Comprehensive Data Insight
DLP Savings Estimator Product
Calculate potential DLP savings to enhance security operations.
mind.io/product/dlp-savings-estimator- ✓ Savings Calculation — Calculate Savings
- ✓ Contextual Recommendations — Receive Insights
- ✓ User-Driven Inputs — Adjust Inputs
- ✓ Automated Reporting — Generate Reports
Market Segments
Data loss prevention
Capabilities to discover, classify, monitor, and prevent unauthorized exfiltration of sensitive data at endpoints using content-aware inspection, policy enforcement, and reporting to meet regulatory requirements.
Data discovery and classification
Capabilities to locate, inventory, and apply context-aware classification to structured and unstructured sensitive data across on‑premises, cloud, and SaaS sources to support mapping and access controls.
GenAI data protection
Controls that identify and prevent leakage of sensitive information within generative AI and agentic AI workflows, using LLM-based data understanding and contextual risk analysis.
Autonomous Incident Response and Remediation
Agentic AI that autonomously investigates threats, executes coordinated remediation actions across security controls, and reduces analyst workload while preserving human oversight.
Data governance and labeling integration
Enrichment of data governance through content-aware labeling, contextual metadata and automated label writeback to information protection platforms such as Microsoft Purview.
Related Organizations
Common Questions
- What does MIND Security Inc. do?
- MIND Security Inc. is an AI-native data security company that helps organizations protect their most sensitive data across all environments. The platform enables data discovery, classification, real-time detection, autonomous remediation and comprehensive prevention across SaaS, on-premises file shares, endpoints and email. Built to simplify data security at scale, it serves enterprises and teams deploying AI and digital workloads, focusing on data privacy, risk mitigation and brand protection.
- What is MIND Security Inc.'s role in the Data loss prevention market?
- Capabilities to discover, classify, monitor, and prevent unauthorized exfiltration of sensitive data at endpoints using content-aware inspection, policy enforcement, and reporting to meet regulatory requirements.
- What is MIND Security Inc.'s role in the Data discovery and classification market?
- Capabilities to locate, inventory, and apply context-aware classification to structured and unstructured sensitive data across on‑premises, cloud, and SaaS sources to support mapping and access controls.
- How was the Data loss prevention market size estimate for MIND Security Inc. calculated?
- Both provided reports align on a current market size of roughly USD 3.4 billion. MarketsandMarkets (2023) projects growth to ~$8.9B by 2028 at a 21.2% CAGR; Fortune Business Insights (updated 2026) projects growth to USD 23.76B by 2034 at a 24.10% CAGR. I adopt the USD 3.4B base and the Fortune Business Insights longer-term CAGR (24.1%) as the market growth potential estimate, supported by drivers cited in the sources (cloud adoption, rising breaches, regulatory pressure).
- How was the Data discovery and classification market size estimate for MIND Security Inc. calculated?
- Estimated market size and growth based on multiple market reports in the provided results that specifically address “data discovery and classification.” TrendX Insights and WiseGuyReports both report 2025 market values near USD 4.25–4.52 billion and forecast mid-teens CAGRs (13.4–13.6%) through the 2030s; I used the midpoint (USD 4.5B) and midpoint CAGR (13.5%) as the estimate. Larger figures in some “data discovery” reports (broader definitions) cite higher base sizes and ~15–16% CAGRs, but the consensus for the narrower data discovery+classification segment supports the 4.5B / ~13.5% estimate.
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