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What is MIND?

MIND is an AI-native data loss prevention platform that helps organizations discover, monitor, and protect sensitive information across users, applications, infrastructure, GenAI systems, and autonomous AI agents. The platform combines data discovery and classification, Data Detection and Response, loss prevention and mitigation, integrated identity and data security, and AI-powered DLP agents. MIND continuously identifies and classifies sensitive data across SaaS applications, GenAI services, agentic AI, endpoints, email, and on-premises file shares to reduce data security blind spots. Its real-time detection capabilities analyze billions of signals and enrich incidents with contextual information so security teams can focus on activity that represents meaningful risk. Autonomous remediation can address identified incidents without requiring teams to manually investigate and resolve every data security event. MIND can also prevent sensitive information from leaving an organization in real time and coach users when their actions create data security risks or conflict with organizational policies. The platform is designed to reduce traditional DLP complexity by eliminating the need to manually write regular expressions, extensively tune policies, or depend on professional services for routine operation. MIND supports GenAI security by helping organizations control how sensitive enterprise information is accessed and used as employees adopt generative AI applications. It also addresses agentic AI security, helping organizations protect sensitive information as autonomous AI agents gain access to enterprise data and perform actions on behalf of users. Additional use cases include SaaS data protection, endpoint DLP, on-premises DLP, email DLP, insider risk management, automated data remediation, and reduction of DLP false positives.

What is ClassifyIt?

This add-on is compatible with Microsoft Office 2010 and later versions, enabling users to incorporate classification tags at the beginning of emails and within the header or footer areas of documents. Additionally, it provides the capability to encrypt attachments for enhanced security. ClassifyIt is designed to be tailored to meet the specific needs of its users, aiding in the classification of all types of Microsoft Outlook emails, Word documents, Excel spreadsheets, and PowerPoint presentations. This tool plays a crucial role in maintaining compliance with policies and serves as an essential component for safeguarding information. Its user-friendly interface ensures ease of use, and it is offered at a highly competitive price point. Examples of classification labels include Unclassified, Restricted, Confidential, and SECRET, illustrating the versatility of the classification system it supports. By streamlining the classification process, ClassifyIt helps organizations effectively manage sensitive information.

Media

Media

Integrations Supported

Asana
Box
ChatGPT
Cohere
Confluence
Gemini
Gemini 1.5 Pro
Gemini Pro
HP Advance
Hitachi Content Intelligence
Intercom
Microsoft Azure
Microsoft Exchange
Microsoft Outlook
Microsoft Teams
Nasuni
ServiceNow
Windows Server
Zendesk

Integrations Supported

Microsoft Office 2021

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

€10 per license
1-9 EUR: 30.00
10-49 EUR: 25.00
50-99 EUR: 20.00
100-999 EUR: 15.00
From1000 EUR: 10.00

Subscription: 50% anually
Free Trial Offered?

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

Windows
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub

Company Facts

Organization Name

MIND

Company Location

United States

Company Website

mind.io

Company Facts

Organization Name

Ralf Ulrich Garbe

Date Founded

2004

Company Location

Germany

Company Website

classifyit.eu

Categories and Features

Data Classification

Not specified

Data Discovery

Not specified

Data Loss Prevention

Not specified

Data Security

Not specified

Categories and Features

Data Classification

Not specified

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