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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

CyberFlood serves as a robust and user-friendly testing solution that simulates realistic application traffic, designed to evaluate the performance, scalability, and security of your app-aware networking devices and solutions. This tool simplifies the process of testing and enforcing application traffic policies, benchmarking performance and capacity, and assessing network security effectiveness while adhering to NetSecOPEN methodologies. Renowned as the premier L4-7 testing solution globally, CyberFlood stands out due to its combination of extreme scale, high performance, and ease of use, which enhances productivity and generates hyper-realistic application traffic. Users can swiftly and effortlessly test with the latest applications available in the market. Moreover, CyberFlood integrates multiple testing functions into a fully virtual testing environment, providing a high-performance appliance capable of app security assessments across 10G, 25G, 40G, 50G, and 100G interfaces within a compact 1U form factor. This solution is essential for evaluating the performance of content-aware networks, security systems, and web applications, enabling organizations to optimize their network infrastructure effectively. With its innovative approach, CyberFlood can revolutionize how businesses manage and assess their network capabilities.

Description

Sevren's AppSec Policy as Code solution programmatically integrates all relevant data from development environments to enhance visibility and automate the Security Development Lifecycle (SecDLC). With a focus on AppSec visibility at scale, it recognizes that a lack of visibility leads to insufficient data, which in turn hinders the ability to make sound security decisions, rendering intelligent automation ineffective. By ensuring real-time, scalable visibility into the development environment, Sevren empowers organizations to keep pace with the rapid evolution of development practices, from traditional waterfall methods to agile sprints and continuous delivery. In today's fast-paced development landscape, the inability to implement intelligent automation can jeopardize both security measures and business outcomes. Additionally, the reliance on manual enforcement of AppSec policies introduces risks due to potential inconsistencies and errors stemming from human interpretation. Consequently, automating policy enforcement not only streamlines processes but also fortifies security and enhances overall business performance.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Arbor Sightline
Fortinet SD-WAN
Wind River Workbench

Integrations

Arbor Sightline
Fortinet SD-WAN
Wind River Workbench

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

Spirent

Founded

1936

Country

United States

Website

www.spirent.com/products/cyberflood-security-test

Vendor Details

Company Name

Sevren

Country

United Kingdom

Website

sevren-intelligence.com

Product Features

Software Testing

Automated Testing
Black-Box Testing
Dynamic Testing
Issue Tracking
Manual Testing
Quality Assurance Planning
Reporting / Analytics
Static Testing
Test Case Management
Variable Testing Methods
White-Box Testing

Product Features

Cybersecurity

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

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