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What is e-Safe Compliance?

We conduct a prompt and comprehensive assessment aimed at identifying and evaluating risky user behaviors, while providing actionable recommendations to mitigate potential threats before they escalate. e-Safe Compliance acts as a customized compliance framework that meets all necessary regulatory requirements to ensure the safety of your organization. In contrast to traditional DLP systems that rely on rigid blocking techniques which can disrupt productivity, e-Safe’s People-Centric DLP creates a security framework rooted in education, trust, and verification, effectively safeguarding vital information through a multi-layered encryption strategy. Our approach incorporates machine learning analytics to detect harmful user actions, significantly reducing the time needed for detection by engaging information owners in the monitoring process. Studies consistently show that human errors are the leading threat to the security of sensitive data, highlighting the significance of our proactive methodology. By addressing both technological solutions and human elements, we elevate the overall data protection efforts within organizations, ultimately fostering a culture of security awareness among employees. This holistic strategy not only minimizes risks but also empowers teams to take responsibility for safeguarding critical 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

Integrations Supported

Asana
ChatGPT
Claude
Confluence
Dropbox
Gemini
Gmail
Google AI Plus
Google Drive
HiBob
IBM Cloud
Intercom
Jira
Microsoft Azure
Microsoft OneDrive
Microsoft Outlook
Notion
Perplexity
Salesforce
Slack

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
Online Training

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

e-Safe Systems

Date Founded

2010

Company Location

United Kingdom

Company Website

www.e-safecompliance.com

Company Facts

Organization Name

MIND

Company Location

United States

Company Website

mind.io

Categories and Features

Categories and Features

Data Classification

Not specified

Data Discovery

Not specified

Data Loss Prevention

Not specified

Data Security

Not specified

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