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Description
An effective antispam solution is essential for safeguarding your organization, considering that email remains the primary entry point for sophisticated attacks. FortiGuard Antispam employs a thorough and multi-faceted strategy for identifying and managing spam that organizations encounter. By utilizing dual-pass detection technology, it significantly minimizes spam at the network's edge, providing exceptional control over email-related threats and potential infections. Furthermore, FortiClient endpoint agents extend spam protection to remote computers and mobile devices, ensuring comprehensive coverage. In the 2015 VBSPAM Test conducted by Virus Bulletin, Fortinet’s antispam achieved the second highest ranking within the security sector for its effectiveness, boasting an impressive 99.98% success rate. This solution not only defends your organization against email-borne threats but also allows you to tailor your antispam policies to meet the specific needs of your organization, whether at the domain, group, or individual user level. With such robust features, businesses can feel more secure in their email communications.
Description
FortiNDR effectively detects ongoing cybersecurity threats by analyzing unusual network behavior, which accelerates the investigation and response processes to incidents.
This solution offers comprehensive protection across the network lifecycle, combining detection and response capabilities. Utilizing AI, machine learning, behavioral analytics, and human insight, it scrutinizes network traffic to help security teams recognize malicious activities and take swift action against them. FortiNDR excels in providing in-depth analysis of network traffic and files, determining the root causes of incidents, and assessing their scope, all while equipping users with the necessary tools to address these threats promptly.
One of its standout features is the Virtual Security Analyst, designed to pinpoint harmful network activities and files, allowing for the immediate identification of complex threats, such as zero-day vulnerabilities. Additionally, FortiNDR Cloud enhances security measures by merging machine learning and AI with human expertise to bolster overall security and minimize false alarms. The expertise of seasoned threat researchers at FortiGuard Labs plays a crucial role as they monitor the activities of cybercriminals, conduct reverse engineering, and continually refresh detection protocols to stay ahead of emerging threats. This ongoing effort ensures that organizations can react effectively and maintain robust defenses against various cyber risks.
API Access
Has API
No
API Access
Has API
No
Integrations
Azure Marketplace
No
EndaceProbe
No
FortiClient
Yes
FortiGuard Security Services
Yes
Integrations
Azure Marketplace
Yes
EndaceProbe
Yes
FortiClient
No
FortiGuard Security Services
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Fortinet
Founded
2000
Country
United States
Website
www.fortinet.com/support/support-services/fortiguard-security-subscriptions/anti-spam
Vendor Details
Company Name
Fortinet
Founded
2000
Country
United States
Website
www.fortinet.com/products/network-detection-and-response
Product Features
Anti-Spam
Allow / Block List
No
Audit Log
No
Email Archiving
No
Email Recovery
No
Email Routing
No
Encryption
No
Fraud Detection
No
Quarantine
No
Reporting & Statistics
No
Spam Filter
No
