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Description

The digital landscape is expanding swiftly, complicating the defense against sophisticated threats. A recent Ponemon study reveals that almost 80% of organizations are accelerating digital innovation more quickly than they can effectively safeguard it from cyberattacks. Furthermore, the intricacies and fragmentation of current infrastructures are contributing to an increase in cyber incidents and data breaches. Various standalone security solutions employed by some companies tend to function in isolation, hindering network and security operations teams from obtaining a clear and cohesive understanding of the overall situation within the organization. Implementing an integrated security architecture that includes analytics and automation features can significantly enhance visibility and streamline processes. FortiAnalyzer, as part of the Fortinet Security Fabric, offers comprehensive analytics and automation capabilities, thereby improving the detection and response to cyber threats. This integration not only fortifies security measures but also empowers organizations to respond more effectively to emerging cyber challenges.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
BackBox
Claroty
EndaceProbe
FortiADC
FortiManager
FortiPortal
FortiProxy
Fortinet

Integrations

Azure Marketplace
BackBox
Claroty
EndaceProbe
FortiADC
FortiManager
FortiPortal
FortiProxy
Fortinet

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Fortinet

Founded

2000

Country

United States

Website

www.fortinet.com/products/management/fortianalyzer

Vendor Details

Company Name

Fortinet

Founded

2000

Country

United States

Website

www.fortinet.com/products/network-detection-and-response

Product Features

Cybersecurity

AI / Machine Learning
Behavioral Analytics
Endpoint Management
IOC Verification
Incident Management
Tokenization
Vulnerability Scanning
Whitelisting / Blacklisting

Network Traffic Analysis (NTA)

Anomalous Behavior Detection
High Bandwidth Usage Monitoring
Historical Behavior Data
Identify High Network Traffic Sources
Network Transaction Visibility
Stream Data to IDR or Data Lake
Traffic Decryption

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