Secure emails and large files with encryption that protects data in proportion to the level of risk.Learn more
Egress Prevent uses contextual machine learning and advanced DLP to spot when employees are about to accidentally or intentionally leak data and stop breaches before they happen.
We inspect all email content to make sure the message body and any attachments are suitable for all recipients included. Our helpful prompts empower users to correct mistakes before they happen, while we can also block risky emails from being sent altogether. In addition, comprehensive admin reporting dashboards provide statistics to highlight security threats.
We make sure you email the right recipients by continuously and intelligently learning your email patterns in real time, so you can stop emails going to the wrong people, prevent a security breach, and steer clear of non-compliance and associated financial penalties.
Contextual machine learning
We use contextual machine learning to quickly analyse historical user behavior in the context of who they are communicating with and where, at what time, and what sensitive content they are sharing. Learn more >
Recipient domain analysis
We analyze recipients for historic secure interactions and domains for authenticity and reputation to spot, and provide real-time guidance on, anomalous recipients.
Scrutiny of recipient information
We provide quantifiable risk assessments for senders by analyzing historical communications with their recipients, along with geographic and system information regarding data access.
Sender history deep dive
Historical analysis of sender communications, including all recipients they have emailed in the past, allows us to flag any anomalies in behavior and prevent emails going to the wrong recipient.
Emailing sensitive content? We’ve got you covered with machine learning and pattern matching technologies that interrogate email content with unmatched granularity to prevent users sending the wrong content and protect your hard-earned reputation.
Message body analysis
Scrutiny of email subject lines and message body against recipient names and domains allows us to flag anomalies and offer real-time advice to prevent users sharing the wrong information.
In-depth attachment interrogation
Unlike other providers, we go beyond simple file name and type analysis to scan the data inside an attachment and spot a potential security breach.
Intelligent DLP technologies
Contextual machine learning overlays DLP rules to continuously learn your users' data sharing patterns with domains and recipients.
Employees are spending less time in the office, working either remotely or on the move, which places greater reliance on mobile devices. Our full infrastructural support for smart devices means that your business can keep pace with today’s demands without every worrying about users sending emails to the wrong person or with the wrong content.
We provide full support for emails created on all mobile devices, including iOS and Android.
Gateway for mobile and OWA
Unlike other solutions that require all emails via mobile to be routed to their cloud, our cutting-edge gateway solution allows users to safely email from OWA or their mobile device without any risk of disruption to their workflows.
Intuitive workflows for mobile users
A simple workflow enables mobile users to quickly approve or reject potentially misdirected emails.
Need to restrict internal access to sensitive information to protect client confidentiality? We enable you to enforce ethical walls using contextual machine learning and advanced technology that prevents data from getting into unauthorized hands and upholds your reputation with clients.
Contextual machine learning
Unlike with other providers, our contextual machine learning algorithms account for a user’s role within the organization, meaning we can instantly spot any abnormal behavior that might lead to a conflict of interest.
We analyze historical sent communications in order to pinpoint whenever a sender includes any potentially abnormal recipients and might be about to breach an ethical wall.
Our contextual machine learning and DLP rules scrutinize the subject line, message body and even data within attachments to make sure that no sensitive data is ever wrongly sent, keeping information barriers in place.
The rise of human-activated threats to email security is making it increasingly critical for solutions to interact elegantly with user workflows. Our easy-to-navigate interface has been designed to be as easy to use as possible, so you don’t have to worry about the risk of email fatigue and any resulting human error.
Appropriate interactions for users
With our contextual machine learning, we only alert users to a potential mistake, with suitable prompts enhancing the user experience and reducing the threat of pop-up fatigue.
Real-time feedback to users
After ingesting historical email data, we’ll start providing value to users typically within 30 minutes. With an intuitive display panel, you receive instantaneous feedback within milliseconds of any recipients being added to new emails.
Native support for Office 365 and Microsoft Outlook
Our solution integrates directly with Office 365 and Microsoft Outlook, providing every user with accurate yet unobtrusive support in real time.
Reporting on risks within your email network doesn’t need to be a long-winded headache. We provide administrators with quick, on-demand HTML reports that track sensitive data flows and pinpoint any threats to regulatory compliance, so your organization can avoid non-compliance and the resulting financial penalties and damaged reputations.
We provide detailed reporting on compliance with regulations and granular statistics on the number of incorrect recipients added to emails.
Pinpointing at-risk employees
Whether an employee is frequently misdirecting emails or attempting to exfiltrate sensitive information, we alert administrators to potentially abnormal behavior.
A dedicated timeline highlights where the tool has reduced instances of insecure data sharing to potentially unknown systems.
As the year draws to a close, it’s tempting to reflect on the major developments that helped shape 2019. But in the technology industry—and most of all, the cybersecurity industry—we look to the future, not the past.
Egress Prevent uses machine learning and advanced data analytics to secure and protect your sensitive email communications.