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Average Ratings 0 Ratings

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ease
features
design
support

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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.

Description

R-Scope serves as an advanced network security sensor, designed specifically for both threat detection and hunting. By delivering network activity within a contextual framework, it facilitates a more accurate and expedited identification of real threats. Incident Responders gain significant advantages from R-Scope’s output, which boasts a richness that is 100 times greater than that of its competitors while maintaining a lower storage footprint and cost. This system not only identifies threats swiftly but also allows for quick and comprehensive remediation efforts. R-Scope comes in various configurations to accommodate different enterprise deployment needs. For conventional data centers, it is offered as a 1U appliance, with pricing adjusted based on throughput specifications. Additionally, software-only options are available for those seeking greater deployment flexibility. For cloud implementations, potential users are encouraged to reach out to Reservoir Labs. Every version of R-Scope is meticulously hardened and fully supported to thrive in the most rigorous business settings. Furthermore, support and services are delivered directly by skilled engineers from Reservoir Labs, ensuring high-quality assistance. This commitment to support enhances the overall reliability and effectiveness of R-Scope in safeguarding network environments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Ansible
Azure Marketplace
EndaceProbe

Integrations

Ansible
Azure Marketplace
EndaceProbe

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/network-detection-and-response

Vendor Details

Company Name

Reservoir Labs

Founded

1990

Country

United States

Website

www.reservoir.com/cybersecurity/

Product Features

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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