Adaptive Security
Adaptive Security was founded in 2024 by seasoned entrepreneurs Brian Long and Andrew Jones. Since inception, the company has raised over $50 million from top-tier investors including OpenAI, Andreessen Horowitz, and executives from Google Cloud, Fidelity, Plaid, Shopify, and other industry leaders.
Adaptive defends organizations against sophisticated, AI-driven cyber threats such as deepfakes, vishing, smishing, and spear phishing. Its next-generation security awareness training and AI phishing simulation platform enables security teams to deliver ultra-personalized training that adapts to each employee’s role, access level, and exposure. This training leverages real-time open-source intelligence (OSINT) and features highly convincing deepfake content—including synthetic media of a company’s own executives—to mirror real-world attack vectors.
Through AI-powered simulations, customers can continuously assess and improve organizational resilience. Hyper-realistic phishing tests across voice, SMS, email, and video channels evaluate risk across every major vector. These simulations are fueled by Adaptive’s AI OSINT engine, giving teams deep visibility into how attackers might exploit their digital footprint.
Today, Adaptive serves global leaders like Figma, The Dallas Mavericks, BMC Software, and Stone Point Capital. With an industry-leading Net Promoter Score of 94, Adaptive is redefining excellence in cybersecurity.
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qTest
Effective software testing requires centralized management and visibility from the initial concept to the final production phase to enhance both the speed and security of software releases. Tricentis qTest empowers teams to collaborate more efficiently and accelerate delivery while minimizing risks by integrating, overseeing, and scaling testing efforts across the organization. Comprehensive testing encompasses a wide array of tools, teams, test types, and methodologies. By unifying these aspects, Tricentis qTest allows teams to release software with greater assurance and lower risk. Furthermore, it assists in pinpointing collective opportunities for speeding up processes. Teams can automate additional testing, boost release velocity, and enhance collaboration throughout the software development lifecycle. With seamless integrations into DevOps tools like Jira, Jenkins, and GitHub, quality assurance and development teams can remain aligned and coordinated. Additionally, maintaining a thorough audit trail enables tracing of defects and tests back to their development and requirements, ensuring clarity and accountability. Cross-project reporting facilitates alignment among teams, fostering a more cohesive approach to software development and delivery.
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Loadmill
With Loadmill, organizations can generate automated API tests directly from real user sessions, streamlining their development workflows while significantly increasing speed and automating previously manual testing processes by mimicking genuine user behavior. By re-executing thousands of user flow tests, Loadmill effectively addresses regression challenges, thereby reducing the time needed for regression cycles and allowing teams to focus on critical priorities. This approach not only minimizes costs associated with inefficient testing and maintenance but also ensures that regression tests are automatically generated from actual user interactions, enabling teams to operate more efficiently. Furthermore, by automating the entire quality assurance process through the recreation of authentic user actions, Loadmill integrates smoothly into continuous delivery pipelines, promoting quicker deployment of updates. By harnessing real traffic from websites around the globe, Loadmill facilitates rapid performance testing of your server, enabling tests to be launched in mere seconds and helping to identify bottlenecks before they impact production environments. Its distributed system allows the use of countless unique IP addresses and locations for each test, and it also provides the option to record and replay specific user scenarios on a large scale, ensuring thorough coverage and reliability in all testing initiatives. In addition, this capability fosters a more robust testing environment, empowering organizations to adapt to evolving user needs efficiently.
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VRED
Autodesk VRED is a sophisticated software platform designed for 3D visualization and virtual prototyping, effectively animating complex data. It enables users to create outstanding renderings both on local machines and through cloud services, facilitating smooth visualization, design validation, and collaboration across multiple devices, including those compatible with virtual reality. With VRED, designers and engineers can efficiently create product presentations, carry out design assessments, and build virtual prototypes using interactive GPU ray tracing, along with both analytical and cloud-based rendering solutions. This software transforms intricate engineering and design datasets into a cohesive digital control model, acting as a singular, reliable source of information for all participants involved. Users can conveniently access the latest design data from any location at any time, promoting high-quality collaborative reviews on desktops, mobile devices, or in a VR setting through a variety of tools and streaming APIs. VRED not only streamlines data preparation and virtual prototyping but also amplifies virtual photography, visual simulation, collaboration, and extended reality experiences, positioning it as a crucial asset for contemporary design processes. Its flexibility and comprehensive feature set make it indispensable for teams striving to innovate and enhance their product development workflows while ensuring that every stakeholder is aligned with the most accurate and up-to-date information.
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