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What is Polar Security?

Optimize the procedures for identifying, protecting, and managing data within your cloud environments and SaaS platforms. Easily track down all occurrences of sensitive data that may be at risk, which helps to minimize the overall vulnerability to data breaches. Identify and classify sensitive content such as personally identifiable information (PII), protected health information (PHI), payment card information (PCI), and confidential corporate intellectual property to lower the chances of data compromise. Acquire real-time, actionable recommendations for securing your cloud data and maintaining compliance with necessary regulations. Establish strong data access controls to guarantee limited access rights, strengthen your security posture, and improve defenses against cyber threats. This forward-thinking strategy not only safeguards your valuable assets but also promotes a security-conscious culture throughout your organization, ensuring that every team member understands their role in protecting sensitive information.

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.

Media

Media

Integrations Supported

Dropbox
GitHub
Microsoft Azure
Salesforce
Slack
Zendesk
Amazon Web Services (AWS)
Google Workspace
Microsoft 365
MongoDB
MySQL
PostgreSQL

Integrations Supported

Dropbox
GitHub
Microsoft Azure
Salesforce
Slack
Zendesk
Cohere
Copilot
DDP Endpoint Security Suite
GitLab
HP Advance
HiBob
Hitachi Content Intelligence
Nasuni

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Webinars

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Polar Security

Date Founded

2021

Company Location

Israel

Company Website

www.polar.security/

Company Facts

Organization Name

MIND

Company Location

United States

Company Website

mind.io

Categories and Features

Data Discovery

Not specified

Data Governance

Not specified

Data Security

Not specified

Categories and Features

Data Classification

Not specified

Data Discovery

Not specified

Data Loss Prevention

Not specified

Data Security

Not specified

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