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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 Jazz?

Jazz stands out as a pioneering Data Loss Prevention (DLP) platform designed for the modern technological landscape, allowing organizations to understand and mitigate the dangers associated with sensitive data exposure by analyzing the intricate context of information flow within their infrastructure. Unlike traditional DLP systems that rely on rigid rules and basic pattern recognition, Jazz utilizes artificial intelligence to tailor its responses to the specific dynamics of a business, effectively discerning the intent and context behind data interactions. This advanced methodology enables the platform to determine whether a flagged incident is a genuine security threat or a harmless event, significantly reducing the number of false alarms that can overwhelm security personnel. By continuously monitoring activities across various applications, users, and data pathways, it provides a comprehensive view of how information is accessed, shared, and moved within an organization. Instead of bombarding users with an excessive amount of alerts, Jazz focuses on delivering succinct explanations and practical insights, empowering security teams to quickly understand the nature of incidents. This strategic approach not only improves the effectiveness of data protection measures but also contributes to a more secure and resilient digital landscape, ultimately fostering greater trust in the handling of sensitive information. Additionally, the platform's ability to evolve with changing organizational needs ensures that it remains relevant and effective in the face of emerging threats.

Media

Media

Integrations Supported

Box
Claude
Cohere
Copilot
DDP Endpoint Security Suite
Dropbox
Gemini 1.5 Pro
Gemini Enterprise
Gemini Nano
Gemini Pro
GitHub
Intercom
Jira
Microsoft Azure
Microsoft OneDrive
Microsoft SharePoint
Microsoft Teams
Nasuni
Slack
Zendesk

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

MIND

Company Location

United States

Company Website

mind.io

Company Facts

Organization Name

Jazz

Company Location

United States

Company Website

www.jazz.security/

Categories and Features

Data Classification

Not specified

Data Discovery

Not specified

Data Loss Prevention

Not specified

Data Security

Not specified

Categories and Features

Data Loss Prevention

Not specified

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