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What is MINDely?

MIND is an innovative data security platform that revolutionizes the approach to data loss prevention (DLP) and insider risk management (IRM) by automating processes that allow organizations to quickly identify, detect, and prevent data breaches at unprecedented speeds. This solution actively searches for sensitive data within various file types across multiple IT environments, effectively covering scenarios where data is stored, transmitted, or currently accessed. By identifying and addressing vulnerabilities in sensitive information across a wide array of IT ecosystems, including SaaS platforms, AI applications, endpoints, on-premises file systems, and email communications, MIND guarantees extensive protection. The platform consistently monitors and analyzes billions of data security incidents in real time, delivering enriched context surrounding each occurrence while autonomously executing necessary remediation actions. Additionally, MIND has the capability to instantly block sensitive data from being exposed or to collaborate with users to reduce risks, all while reinforcing organizational policies. Its ability to seamlessly integrate with various data sources within IT infrastructures allows MIND to uncover vulnerabilities in sensitive data, thereby strengthening the overall security framework. Not only does MIND safeguard critical information, but it also promotes a culture of compliance and heightened awareness among users, ultimately leading to a more secure organizational environment. This dual focus on protection and education ensures that users are not only shielded from risks but are also equipped to recognize and respond to potential threats.

What is Imperva Data Security Fabric?

Ensure comprehensive protection for your data with a strong, enterprise-grade security solution that integrates across multicloud, hybrid, and on-premises settings, catering to various data types. Strengthen security protocols across multiple platforms while effectively discovering and classifying structured, semi-structured, and unstructured data. Evaluate and rank data risks by taking into account the context of incidents and the possibility of adding new features. Simplify data management through a centralized service or dashboard that provides a cohesive overview. Protect against unauthorized data exposure and effectively prevent breaches. Streamline security, compliance, and governance processes related to data to make them more straightforward and efficient. Establish a unified view to gain insights into vulnerable data and users while actively managing a Zero Trust framework and enforcing applicable policies. Utilize automation and workflows to conserve both time and resources, ensuring compatibility with a diverse range of file shares and data repositories, including those in public, private, data center, and third-party cloud environments. Meet not only your present needs but also anticipate future integrations as your cloud use cases grow, thereby refining your overall data security strategy. Additionally, by adopting these strategies, your organization can greatly enhance its defense against various data-related risks and threats, reinforcing its overall cybersecurity posture.

Media

Media

Integrations Supported

Axonius
Bing
Box
ChatGPT
Claude
Gemini 2.0
Gemini Nano
GitHub
GitLab
Google Drive
HP Advance
Intercom
Jasper
Mage Static Data Masking
Microsoft Outlook
Nasuni
Perplexity
Salesforce
Windows Server

Integrations Supported

Axonius
Bing
Box
ChatGPT
Claude
Gemini 2.0
Gemini Nano
GitHub
GitLab
Google Drive
HP Advance
Intercom
Jasper
Mage Static Data Masking
Microsoft Outlook
Nasuni
Perplexity
Salesforce
Windows Server

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

MIND

Company Location

United States

Company Website

mind.io

Company Facts

Organization Name

Imperva

Date Founded

2002

Company Location

United States

Company Website

www.imperva.com/products/data-security-fabric/

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Loss Prevention

Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

Categories and Features

Data Discovery

Contextual Search
Data Classification
Data Matching
False Positives Reduction
Self Service Data Preparation
Sensitive Data Identification
Visual Analytics

Data Fabric

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Security

Alerts / Notifications
Antivirus/Malware Detection
At-Risk Analysis
Audits
Data Center Security
Data Classification
Data Discovery
Data Loss Prevention
Data Masking
Data-Centric Security
Database Security
Encryption
Identity / Access Management
Logging / Reporting
Mobile Data Security
Monitor Abnormalities
Policy Management
Secure Data Transport
Sensitive Data Compliance

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