Nowen
Log inMeet your AI agent
MIMIND Security Inc. logo

MIND Security Inc.

Unclaimed
mind.ioSeattle, Washington, United States

AI-native data security platform protecting sensitive data across environments.

Overview

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.

What would you like to do?
Analyze as a competitorCompare positioning, offers and segments against your own company.Evaluate as a vendorScore MIND Security Inc. against alternatives on your own criteria.Claim this company's AI agentWork at MIND Security Inc.? Improve your AI agent so it ranks higher when people ask AI about you.How AI sees this companyThe metadata, structured data and Markdown that assistants read.

What we offer

MIND

MIND protects sensitive data across multiple environments to minimize risks and enhance security compliance.

mind.io/product

MIND AI DLP Agents

Automates data security tasks, enabling teams to focus on strategy and innovation.

mind.io/solutions/mind-ai-dlp-agents

Purview and MIND integration

Enhance Microsoft Purview's effectiveness with MIND's comprehensive data context and automation.

mind.io/solutions/purviewandmind

DLP Savings Estimator

Calculate potential DLP savings to enhance security operations.

mind.io/product/dlp-savings-estimator

Market segments

Market size by segment

Growth potential (CAGR)

Data loss prevention

3.4 Billion USD24.1% CAGR

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

4.5 Billion USD13.5% CAGR

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

1.97 Billion USD39.9% CAGR

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

1.25 Billion USD25% CAGR

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

1.19 Billion USD19% CAGR

Enrichment of data governance through content-aware labeling, contextual metadata and automated label writeback to information protection platforms such as Microsoft Purview.

More information about our offering

MIND

AI-native data loss prevention platform that secures sensitive data across SaaS, GenAI, agentic AI, endpoints and on-premises file shares and emails. The platform enables data discovery, classification, real-time detection, autonomous remediation and comprehensive prevention across environments, designed to simplify data security at scale.

  • Streamline Policy Management
    This feature allows users to maintain robust data security measures with less manual oversight, optimizing policy effectiveness and response times.
  • Real-Time Signal Analysis
    Users benefit from immediate incident responses that reduce the window for potential data breaches, enhancing overall security posture.
  • Comprehensive Data Visibility
    This feature ensures all sensitive information is identified and categorized, drastically reducing security blind spots and increasing compliance.
  • Proactive Risk Management
    This feature empowers users to mitigate data exposure risks effectively, ensuring compliance and maintaining operational integrity.
  • Creates Comprehensive Data Inventory
    MIND AI continuously discovers and categorizes sensitive data across various platforms, providing a holistic view of organizational data assets.
  • Ensures Precise Classification
    The multi-layer classification engine employs extensive algorithms to ensure accurate identification and classification of sensitive elements in diverse data formats.
  • Enhanced Security for AI Tools
    This capability addresses the unique threats posed by generative AI applications, ensuring sensitive information remains protected while using innovative tools.
  • Evaluates Risk Levels
    MIND AI assesses the risk of data access and usage by analyzing factors such as data origin and contextual usage patterns.
  • Provides Immediate Risk Alerts
    MIND AI continuously evaluates data interactions, allowing for proactive interventions and preventing potential data breaches before they occur.
  • Always-On Protection
    This feature ensures that sensitive data is continuously monitored, providing immediate alerts and actions to prevent unauthorized access or leaks.
  • Identifies Unique Data Types
    MIND AI leverages advanced language models to detect and classify previously unidentified sensitive data types effectively.
  • Simplifies Deployment Process
    MIND AI can be deployed rapidly across various platforms without extensive configuration, ensuring quick operationalization.

MIND AI DLP Agents

A team of AI-powered DLP agents that automate data protection workflows including classification, investigation, policy creation, remediation and exception handling.

  • Automate Data Classification
    Creates tailored data classifiers that adapt to specific business needs, enhancing detection accuracy.
  • Simplify Policy Creation
    Utilizes insights to generate and adjust policies dynamically based on real-time activities.
  • Enhance Incident Response
    Identifies risks and recommends corrective actions to mitigate data exposure effectively.
  • Immediate Remediation
    Takes swift actions to address data risks, ensuring minimal disruption.
  • Streamline Exception Management
    Assesses policy exceptions on the fly, reducing backlog and enhancing compliance.

Purview and MIND integration

MIND integration with Microsoft Purview that provides data meaning and context before governance, making Purview more precise, automated and scalable.

  • Streamline Labeling Process
    Eliminate manual labeling efforts by leveraging MIND's ability to automatically read and assign labels based on the sensitivity of the data, ensuring accuracy and efficiency.
  • Increase Data Protection Accuracy
    Utilize MIND's context-aware capabilities to monitor data activities in real-time, enhancing the effectiveness of data loss prevention protocols and minimizing false alerts.
  • Improve Governance Operations
    By providing a deeper understanding of data, MIND ensures that Purview operates with more reliability and precision, facilitating better governance and compliance outcomes.
  • Achieve Comprehensive Data Insight
    MIND offers complete visibility into sensitive data distributed across various platforms, ensuring no data is overlooked during governance processes.

DLP Savings Estimator

A calculator tool to estimate potential DLP-related cost savings and efficiency gains.

  • Calculate Savings
    Quickly input user data to generate insights into potential cost reductions from improved DLP efficiency.
  • Receive Insights
    Delivers actionable insights on how to streamline DLP processes and enhance team efficiency.
  • Adjust Inputs
    Users can modify alert frequency and analyst salaries to tailor estimates to their organization’s context.
  • Generate Reports
    Provides detailed insights into savings and analysis, helping organizations understand DLP value.

References

Methodology and sourcing behind the market figures shown above.

Data loss prevention

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).

Data discovery and classification

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.

GenAI data protection

Primary estimate based on The Business Research Company’s ‘‘Data Residency Guard for GenAI’’ report (market = $1.97B in 2025; CAGR 39.9% to 2030). Corroborated by related market analyses: Precedence Research (generative AI in cybersecurity: $2.45B in 2025; 21.48% CAGR), KBV Research (AI-based data security: 2023 $1.1B → 2031 $11.3B; CAGR 34.7%), and MarketsandMarkets (AI in cybersecurity: $25.53B in 2026; 14.8% CAGR). These sources show a consistent pattern of a small, specialized GenAI data-protection segment today and high multi‑year growth; the Business Research Company figure was used as the primary, market-segment–specific estimate.

Autonomous Incident Response and Remediation

Estimation anchored to published AI and overall incident-response market figures in the search results. MarketIntelo reports the AI Incident Response market at $8.3B (2025) with 22.4% CAGR; broader incident response reports (SNS Insider, BusinessResearchInsights) show 2025/2026 market sizes of ~$35–39B and double-digit CAGRs (17–20%). Autonomous, agentic incident response and remediation is an early, higher-value subset of the AI incident-response market; assuming a ~15% share of the 2025 AI IR market yields ~USD 1.25B in current size. Given faster adoption for agentic automation versus general IR tooling, a higher CAGR than the AI-IR baseline is assumed (estimated ~25%).

Data governance and labeling integration

Estimated the 'data governance + labeling integration' segment as the intersection of the data labeling and data governance markets. Source data: data labeling market ≈ USD 3.09B (2024) and/or USD 2.83B (2026); data governance market ≈ USD 5.2–5.7B (2025–2026). Assuming the integrated niche represents ~20% of labeling spend plus ~10% of governance spend (overlap for solutions that embed content-aware labeling, contextual metadata and automated label writeback), yields ~USD 1.19B. CAGR taken as ~19%—a midpoint reflecting labeling CAGRs (≈19–23%) and governance CAGRs (≈15–20%).

Behind this profile

This is a public preview. Whoever claims it decides what it shows.

This profile was built from public information. Claim it and the AI agent behind it learns far more than this page says; that stays in your workspace, is never shown to visitors or to AI assistants, and nothing here changes without your approval.

Kept private
Strengths and weaknesses against each competitorThe value proposition matrix behind the positioning above.
BattlecardsHow to win against a named competitor, persona by persona.
AI visibility and citationsWhere assistants mention MIND Security Inc., where they don't, and who they cite instead.
Site audit, keyword rankings and recommendationsWhat to fix so AI ranks MIND Security Inc. higher.

Own this company? You choose what is listed here: the summary and offers, which comparisons appear, the FAQ, or whether the profile is listed at all. Unlisting takes one switch.

Claim this company's AI agent

This profile was built from public web sources. Is this your company? Take control → · Request removal →

Related Organizations