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What is Raptor GRC Classifier?

The Raptor GRC Classifier is a self-hosted tool tailored for the classification of emails and documents within environments like Microsoft Office and LibreOffice/OpenOffice. Administrators can develop and sign policy bundles with classification labels that modify email subject lines, enhance documents with markings, and incorporate watermarks. Each label can be tailored with specific rules to allow actions, issue warnings, require justifications, or block messages, while users have the chance to evaluate draft policies before they go live. Even when a connection to the server is lost, cached policies continue to be enforced on client devices. A web-based dashboard provides real-time insights into device health, logs events from clients, manages a persistent document inventory with unique IDs, and supports data exportation in CSV or Excel formats. The software also offers functionality for endpoint discovery, integration with Microsoft Purview labels, forwarding capabilities to SIEM systems, and the use of signed webhooks. The server must operate on a Linux container host, while clients are compatible with Windows and Ubuntu systems. Early-access versions of the software are released for testing, although they are not intended for production use. This solution equips organizations with a robust mechanism for document and email classification, promoting compliance while enhancing data governance. Furthermore, its user-friendly interface and extensive features can significantly streamline administrative tasks related to data management.

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

No images available

Media

Integrations Supported

Box
Claude
Claude for Legal
Cohere
Confluence
Gemini
Gemini 2.0 Flash
Gemini Nano
Gemini Pro
GitLab
Google Drive
HP Advance
Jira
Microsoft OneDrive
Microsoft Outlook
Microsoft SharePoint
Notion
Salesforce
ServiceNow
Workday Adaptive Planning

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Version

Pricing Information

Pricing not provided

Supported Platforms

Windows
On-Prem
Linux

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Biff Labs

Date Founded

2026

Company Location

United Kingdom

Company Website

raptorgrc.com/products/classifier

Company Facts

Organization Name

MIND

Company Location

United States

Company Website

mind.io

Categories and Features

Data Classification

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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