What is Egress Prevent

FortiMail is an email security solution that protects organizations against phishing, ransomware, zero-day attacks, and business email compromise through multi-layered detection and prevention capabilities.

Egress Prevent: An Email Data Loss Prevention Solution

Egress Prevent is a data loss prevention (DLP) solution specifically designed for email. It assists organizations in preventing breaches that occur when sensitive information is sent out via email.

The Tool is Part of Egress' Intelligent Email Security Suite

The tool is a component of Egress' Intelligent Email Security Suite, which aims to minimize risks associated with human actions in email communications. Egress Prevent specifically tackles the issues of misdirected emails, data exfiltration, and the accidental sharing of sensitive information. Key capabilities include: - Detection and prevention of misdirected emails and files sent to the wrong recipients - Protection against data exfiltration via email channels - Enforcement of information barriers to uphold ethical walls and avoid conflicts of interest - Application of suitable encryption levels to sensitive emails and attachments - Prevention of confidentiality breaches in email communications Egress Prevent operates in conjunction with other Egress products such as Defend (for inbound phishing protection) and Protect (for email encryption) to deliver a thorough email security solution.

The solution appears to be particularly relevant for compliance-driven industries

The solution appears to be especially important for industries that have strict compliance requirements, such as financial services, healthcare, legal, and government sectors.

The tool likely uses AI and machine learning for data loss prevention

The tool likely employs AI and machine learning to detect potential data loss incidents before they happen. This proactive approach assists organizations in adhering to data protection regulations while minimizing the risk of human error in email communications.
 

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