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What is JBA Risk Management?

JBA Risk Management, commonly known as "The Flood People," is a leader in advanced flood modeling services, offering comprehensive flood maps, catastrophe models, and analytics that cover an impressive 99.98% of the Earth's land. Their cutting-edge solutions play a vital role for major insurers, reinsurers, financial institutions, real estate companies, and governmental bodies in the thorough evaluation and management of flood risks. By utilizing JBA's vast database of global flood information, clients can better understand the flood risks tied to particular properties or areas, allowing for informed choices in insurance underwriting, pricing tactics, portfolio oversight, asset investments, and disaster risk mitigation. Their portfolio includes high-resolution flood mapping, probabilistic flood modeling, and climate change analytics, providing critical forecasts of future flood events influenced by different climate scenarios. Moreover, JBA increases the accessibility and integration of its models through collaborations with platforms like Nasdaq's ModEx, significantly extending the reach and effectiveness of their flood risk assessment tools. These cooperative initiatives not only enhance the practicality of their services but also empower clients to remain proactive in an ever-evolving landscape, ensuring their strategies are robust and responsive to emerging challenges. Ultimately, JBA aims to foster resilience against flooding, helping communities and businesses navigate the complexities of climate-related risks.

What is CyberFlood?

CyberFlood is a powerful and intuitive testing solution that mimics realistic application traffic to assess the performance, scalability, and security of your application-aware networking devices and solutions. This tool streamlines the testing process, allowing users to enforce application traffic policies, benchmark performance and capacity, and evaluate network security effectiveness according to NetSecOPEN standards. Celebrated as the leading L4-7 testing solution worldwide, CyberFlood distinguishes itself through its remarkable scale, exceptional performance, and user-friendly interface, all of which boost productivity while creating highly realistic application traffic. Users can quickly and easily conduct tests with the latest applications on the market, ensuring they remain competitive. Furthermore, CyberFlood combines various testing functionalities within a fully virtual environment, delivering a high-performance appliance that performs app security assessments across a range of interfaces, including 10G, 25G, 40G, 50G, and 100G, all housed in a compact 1U form factor. This solution is vital for analyzing the performance of content-aware networks, security systems, and web applications, empowering organizations to optimize their network infrastructure efficiently. By adopting CyberFlood, businesses can significantly enhance their ability to manage and evaluate their network capabilities, ultimately leading to better decision-making and resource allocation.

Media

Media

Integrations Supported

Integrations Supported

Arbor Sightline
Fortinet SD-WAN
Wind River Workbench

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
On-Site Training

Company Facts

Organization Name

JBA Risk

Date Founded

2011

Company Location

United Kingdom

Company Website

www.jbarisk.com/products/catastrophe-models/

Company Facts

Organization Name

Spirent

Date Founded

1936

Company Location

United States

Company Website

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

Categories and Features

Reinsurance

Not specified

Categories and Features

Software Testing

Not specified

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