5.0 out of 5 stars
(1 Rating)
Mainframe environments run the heart of your business, making them a prime target for threats. You can't afford to leave mission-critical data exposed to undetected risks.
Rocket® z/Assure™ Vulnerability Analysis Program (VAP) is a specialized mainframe security solution designed to proactively scan, identify, and resolve vulnerabilities before they impact your operations. By automating deep system-level scans, we help you eliminate blind spots and strengthen your overall security posture. Our tool provides the actionable insights your security team needs to remediate risks quickly, ensuring your infrastructure remains resilient and compliant.
Key benefits for your security team:
- Identify and resolve vulnerabilities across your mainframe environments automatically.
- Safeguard mission-critical data against evolving internal and external threats.
- Streamline your compliance audits with detailed, actionable security reporting.
Partner with Rocket Software today to secure your mainframe and build a resilient foundation for the future.
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4.6 out of 5 stars
(34 Ratings)
It's clear that enhancing your testing efforts could help identify bugs sooner, yet effective QA testing often demands significant time, effort, and resources. With MuukTest, engineering teams can achieve up to 95% coverage of end-to-end tests in a mere three months.
Our team of QA specialists is dedicated to creating, overseeing, maintaining, and updating E2E tests on the MuukTest Platform for your web, API, and mobile applications with unparalleled speed. After reaching 100% regression coverage within just eight weeks, we initiate exploratory and negative testing to discover bugs and further elevate your testing coverage. By managing your testing frameworks, scripts, libraries, and maintenance, we significantly reduce the time you spend on development.
Additionally, we take a proactive approach to identify flaky tests and false results, ensuring that your testing process remains accurate. Consistently conducting early and frequent tests enables you to catch errors during the initial phases of the development lifecycle, thus minimizing the burden of technical debt in the future. By streamlining your testing processes, you can improve overall product quality and enhance team productivity.
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Troy
Troy is a cutting-edge platform for binary analysis, developed by BigBear.ai, that harnesses artificial intelligence and machine assistance to enhance the evaluation and testing of cybersecurity vulnerabilities. This innovative platform simplifies the binary reverse engineering workflow, providing greater insight into the underlying code that powers various devices and sensors. By intelligently automating common tools and techniques, Troy not only extracts essential information but also offers valuable insights, significantly speeding up the identification of software vulnerabilities. A notable feature of Troy is its ability to generate a reverse Software Bill of Materials (SBOM) for binaries lacking available source code, which reduces manual labor and accelerates the analytical process. Moreover, the platform's flexible and modular design allows for the integration of new tools, methodologies, and AI-driven analyses, facilitating the creation of customizable workflows that adapt to the changing requirements of cybersecurity professionals. Consequently, Troy emerges as an indispensable resource in the ongoing battle against cybersecurity threats, continuously evolving to meet the ever-growing challenges in the field. With its robust capabilities, Troy not only enhances efficiency but also empowers organizations to stay one step ahead of potential vulnerabilities.
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afl-unicorn
AFL-Unicorn enables the fuzzing of any binary that can be emulated with the Unicorn Engine, providing the ability to focus on specific code segments during testing. As long as the desired code can be emulated using the Unicorn Engine, AFL-Unicorn can be utilized effectively for fuzzing tasks. The Unicorn Mode features block-edge instrumentation akin to AFL's QEMU mode, allowing AFL to collect block coverage data from the emulated code segments, which is essential for its input generation process. This functionality is contingent upon the meticulous configuration of a Unicorn-based test harness, which plays a crucial role in loading the intended code, setting up the initial state, and integrating data altered by AFL from its storage. Once these parameters are established, the test harness simulates the target binary code, and upon detecting a crash or error, it sends a signal to indicate the problem. Although this framework has been primarily validated on Ubuntu 16.04 LTS, it is built to work seamlessly with any operating system that can support both AFL and Unicorn. By utilizing this framework, developers can significantly enhance their fuzzing strategies and streamline their binary analysis processes, leading to more effective vulnerability detection and software reliability improvements. This broader compatibility opens up new opportunities for developers to adopt advanced fuzzing techniques across various platforms.
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