Adaptive Security
Adaptive Security is OpenAI’s investment for AI cyber threats. The company was founded in 2024 by serial entrepreneurs Brian Long and Andrew Jones. Adaptive has raised $50M+ from investors like OpenAI, a16z and executives at Google Cloud, Fidelity, Plaid, Shopify, and other leading companies.
Adaptive protects customers from AI-powered cyber threats like deepfakes, vishing, smishing, and email spear phishing with its next-generation security awareness training and AI phishing simulation platform.
With Adaptive, security teams can prepare employees for advanced threats with incredible, highly customized training content that is personalized for employee role and access levels, features open-source intelligence about their company, and includes amazing deepfakes of their own executives.
Customers can measure the success of their training program over time with AI-powered phishing simulations. Hyper-realistic deepfake, voice, SMS, and email phishing tests assess risk levels across all threat vectors. Adaptive simulations are powered by an AI open-source intelligence engine that gives clients visibility into how their company's digital footprint can be leveraged by cybercriminals.
Today, Adaptive’s customers include leading global organizations like Figma, The Dallas Mavericks, BMC Software, and Stone Point Capital. The company has a world class NPS score of 94, among the highest in cybersecurity.
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qTest
Software testing must be centrally managed and visible from conception to production in order to make software releases more secure and faster. Tricentis qTest enables teams to collaborate and ship faster, with less risk, by unifying, managing, and scaling testing across the enterprise. Robust testing includes a variety of testing tools, teams, test types, and testing methods. Tricentis qTest combines them all so that teams can release more confidently and reduce risk. It also helps identify opportunities to move faster - collectively. Automate more testing, increase the release velocity, and bring together teams throughout the software development process. Native DevOps integrations such as Jira, Jenkins and GitHub keep QA and development in sync. With a full audit trail, trace defects and tests back to development and requirements. Align teams with cross-project reporting.
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Great Question
Great Question is used by researchers, designers, product managers, marketers, and marketers to create panels, schedule interviews, share insights, and send incentives. You can quickly build a network of customers to answer your great question. To find the perfect match, import, invite, filter. Use our research calendar to schedule interviews or integrate your data. In minutes, you can launch prototype tests and surveys. With tags, clips, highlights and results, you can transform survey results and interviews into consumable reports. Share your insights for everyone to see. To truly understand your customers and get their feedback on the work you are doing, it is essential to build something truly special. Today's companies don't have the systems and processes in place to make customer research an integral part of their decision-making process. We are a small, but powerful team of product managers, engineers, entrepreneurs, and designers.
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Maze
Save hours of time by comparing user research recordings to test results that instantly translate into metrics that matter.
You can quickly create a maze to meet every project's needs, including surveys and usability tests. Then share it with users with a simple URL. You can see the test results in real-time and transform them into quantitative data like heatmaps and mis-clicks. In your auto-generated Maze Report, share your findings with stakeholders and start a conversation.
Maze can be used to validate ideas, concepts, and test wireframes, usability, copy, and gather user insights through satisfaction surveys and feedback. Maze is browser-based, device-agnostic and intuitive. It integrates seamlessly with leading design platforms such as Figma, InVision and AdobeXD to speed up your testing.
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