Email Security GW & WAF
We Feel Your Pain
Phishing attacks
91%
of attacks start with a phishing email.1
Targeted threats are extremely tough to detect.
Keeping up
66%
of malware was installed via malicious emails and attachments.2
Attackers rapidly change tactics to defeat email security measures.
Lack of control
90%
of all reported breaches caused by employee negligence, extortion, and external threats.3
Lack of admin controls on user emails makes remediation particularly hard.
Data exfiltration
15X
increase in ransomware losses from 2015-2017.4
Accidental and intentional sharing of corporate information via email.
Phishing attacks
91%
of attacks start with a phishing email.1
Targeted threats are extremely tough to detect.
Keeping up
66%
of malware was installed via malicious emails and attachments.2
Attackers rapidly change tactics to defeat email security measures.
Lack of control
90%
of all reported breaches caused by employee negligence, extortion, and external threats.3
Lack of admin controls on user emails makes remediation particularly hard.
Data exfiltration
15X
increase in ransomware losses from 2015-2017.4
Accidental and intentional sharing of corporate information via email.
Reliable and secure email
99.9%+ Accuracy in blocking spam and business email compromise scams
* Built-in defenses against ransomware and polymorphic malware
* Incoming Spam and phishing messages are blocked with more accuracy
* Outgoing email is checked for sensitive information and can be automatically flagged
Spam Protection
Self-learning Models
Machine learning and deep neural network models (AI) are used across 1B+ users to keep 99.9+% of the spam out of your Inbox.
User-feedback loop
Integrating user knowledge in our spam models – Click to unsubscribe and report spam allows for user input in our spam detection models and helps us improve our efficacy further.
Personalized for you
Your feedback trains our machine learning models so that you get all the email you want and none of the email you don’t. Only 1 out of 1,000 spam messages are incorrectly classified.
Phishing protection
Integration with Safe Browsing
Our phishing detection models integrates with Google Safe Browsing machine learning technologies for finding and flagging phishy and suspicious URLs.
Click-time prevention
Click-time models use deep learning to identify suspicious links and warn you before you visit a potentially dangerous site.
Advanced spoofing protection
Protection against malicious emails spoofing your domain or employee names.
Malware protection
Multi-layered scanning
To help prevent malware, Google automatically scans attachment for viruses across multiple engines prior to a user downloading it.
Block untrusted attachments
Automatically block attachments that are encrypted or with scripts from from untrusted senders. Also block executables from any senders.
0-Day protection
Detect malware still unknown by traditional AV engines by performing static and dynamic analysis of the scripts inside files to identify malicious code.
Malware protection
Out-of-domain warnings
Visual indicators in Gmail warn users when they’re sharing information outside their organization, reducing risk of unintentional data leaks and attacks.
Data loss prevention
Gmail can automatically check all outgoing email for sensitive information and automatically take action to prevent data leakage.
Safe previews
Safe preview of attachments without opening the attachment in Office or Acrobat reader provides for effective malware protection.
Solution Partners
Contact Sales
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