MIND

What MIND does

MIND is the first AI-native data security platform that puts data loss prevention (DLP) and insider risk management (IRM) programs on autopilot. It autonomously finds sensitive data, fixes data risk issues, and stops data leaks at machine speed across SaaS applications, Gen AI tools, endpoints, on-premises file shares, and email systems. The platform leverages MIND AI, a multi-layer classification engine, to analyze billions of data events in real-time, deliver context-aware risk assessments, enable automated remediation actions, and block data loss on endpoints. MIND's mission is to help organizations thrive in a digital world by protecting their most sensitive information, aiming to achieve Stress-Free DLP for its customers.

Products

• MIND™ Data Security PlatformAn AI-native platform that unifies data loss prevention (DLP) and insider risk management (IRM) programs, putting them on autopilot to autonomously find sensitive data, fix data risk issues, and stop data leaks across various IT environments.
• MIND AIA multi-layer classification engine that uses proprietary AI models and tailored algorithms to accurately categorize sensitive data, analyze billions of data events in real-time, and provide context-aware risk assessments.
• Autonomous DLP AnalystAn AI-powered assistant designed to automate complex and time-consuming DLP workflows, featuring skills like Custom Classifier and Issue Investigator to reduce manual effort for security teams.
• Custom Classifier (skill of Autonomous DLP Analyst)A skill within the Autonomous DLP Analyst trained from user examples and prompts to generate precise classifiers for unique organizational data across SaaS, AI apps, on-prem, endpoints, and emails.
• Issue Investigator (skill of Autonomous DLP Analyst)A skill within the Autonomous DLP Analyst that analyzes alerts, reconstructs user activity and data movement, highlights true risk signals, and guides investigations for faster incident resolution with clear context.
• MIND SaaS DLPData Loss Prevention specifically for SaaS environments, providing unified visibility and protection across cloud applications.
• MIND Endpoint DLPData Loss Prevention for endpoints, monitoring and protecting data on user devices.
• MIND Cloud DLPData Loss Prevention for cloud environments, ensuring sensitive data is secured in cloud infrastructure.
• MIND Email DLPData Loss Prevention for email systems, preventing sensitive data from being leaked via email.

Key capabilities

• AI-native data security platform
• Autonomous data loss prevention (DLP)
• Autonomous insider risk management (IRM)
• Multi-layer AI classification engine (MIND AI)
• Real-time data event analysis
• Context-aware risk assessments
• Automated remediation actions
• Real-time data leak blocking
• Continuous discovery and classification of unstructured data
• High-fidelity data classification beyond regex pattern matching
• Data detection and response (DDR)
• Automated policy creation and enforcement
• Proactive prevention controls
• Secure use of GenAI tools
• Monitoring and analysis of user behaviors
• Risk scoring for incidents (exposure, exfiltration, insider threat)
• Automated actions (revoking access, deleting files, changing labels, alerting owners, engaging users)
• Full audit trail
• Policy management for data at rest and in motion
• Endpoint and user behavior observation
• Smart, context-aware responses (block, coach, escalate)
• Custom Classifier for unique data types
• Issue Investigator for alert analysis and incident resolution
• Integration with Okta for identity context
• Unified visibility across SaaS, Gen AI apps, endpoints, on-premise file shares, and emails
• Just-in-time file scanning
• Minimization of false positives
• Automated enforcement of policies at the moment of risk
• Compliance maintenance with less manual effort

Use cases

• Automatically identify, detect, and prevent data leaks at AI speed for humans, non-humans, and Agentic AI
• Continuously find sensitive data in files across IT environments (at rest or in motion)
• Accurately categorize data with high-fidelity classification
• Gauge risk severity by getting context around data
• Proactively highlight data risks in real-time
• Stop data leaks automatically, especially with GenAI apps
• Remediate risks and educate users on policies
• Monitor and analyze billions of data security events in real-time
• Enrich incidents with context and remediate autonomously
• Block sensitive data in real-time from escaping control
• Put DLP and IRM programs on autopilot
• Replace patchwork tools and slow, manual triage with machine speed data security
• Discover and classify unstructured data across SaaS, GenAI apps, on-premise file shares, endpoints, and emails
• Fix data security issues before they become incidents
• Automate policy creation and enforcement
• Secure data at rest and protect data in motion
• Prevent insider threats by integrating identity and data security
• Spot insider threats before they escalate by combining identity signals with data context
• Design smarter, context-aware security policies with identity intelligence
• Enforce access controls to sensitive data
• Modernize and automate data loss prevention programs
• Reduce manual effort in DLP workflows (e.g., building classifiers, investigating alerts, tuning regex patterns)
• Secure financial, PCI, and PII data
• Protect customer data
• Achieve complete data security without growing security teams
• Gain visibility into data movement across disparate apps and environments
• Accurately classify and get context around sensitive information to reduce false positives
• Automate data classification for efficient DLP
• Identify and categorize sensitive elements within files (e.g., agreements, code, medical records, bank statements)
• Assess risk severity based on organizational context and business meaning
• Automate risk mitigation based on organizational policies

AI approach

MIND is an AI-native data security platform that uses proprietary AI models and a multi-layer classification engine (MIND AI) to autonomously discover, classify, detect, and prevent data loss. It leverages various AI techniques including exact data matching (EDM), regular expression (RegEx) pattern matching, named entity recognition (NER), optical character recognition (OCR), statistical tests, online validation, external databases, user information, HR data, and large language models (LLMs) to categorize sensitive data. The platform also features an "Autonomous DLP Analyst" with skills like Custom Classifier and Issue Investigator, trained from user examples and prompts, to handle complex DLP workflows and reduce manual effort.

Tech named: MIND AI, multi-layer AI classification engine, proprietary AI models, exact data matching (EDM), regular expression (RegEx) pattern matching, named entity recognition (NER), optical character recognition (OCR), statistical tests, large language models (LLMs), Custom Classifier, Issue Investigator, vector analysis

Industries served

• Computer and Network Security
• Technology
• Business Intelligence
• Education
• Software

What it says sets it apart

• First AI-native data security platform
• Puts DLP and IRM programs on autopilot
• MIND AI multi-layer classification engine for high-fidelity data classification
• Autonomously finds sensitive data, fixes risks, and stops leaks at machine speed
• Context-aware risk assessments and automated remediation
• Goes beyond regex pattern matching for accurate data categorization
• Unified platform for discovery, detection, and prevention across diverse environments (SaaS, Gen AI, endpoints, on-prem, email)
• Autonomous DLP Analyst with Custom Classifier and Issue Investigator skills to reduce manual work
• Integration with Okta for enhanced insider threat detection with identity context
• Minimizes false positives and alert noise significantly
• Proactive and preventative controls that adapt to context and risk
• First data security company to achieve ISO 42001 certification
• First data security company accepted into Anthropic's Cyber Verification Program
• Founded and led by cybersecurity leaders and industry veterans
• Cloud-native deployment for fast value realization
• Supports all different file types, from images to archives
• Provides business meaning behind the data, not just location

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.