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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Sumsub
Sumsub is a single verification platform that allows you to onboard more customers worldwide, speed up their access, reduce costs, and fight digital fraud. Sumsub combines effective verification flows with higher conversion rates worldwide through a powerful, all in one suite designed for a wide variety of needs: KYC/AML verification, KYB verifications, payment fraud prevention and face authentication.
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AI or Not
Utilize AI or Not to quickly identify whether images or audio are generated by artificial intelligence, protecting both your business and personal interests. In mere seconds, you can detect generative AI, thereby minimizing fraud and thwarting the latest scams. Additionally, safeguard music copyrights by determining if an artist's voice has been incorporated into AI-generated audio content. Equip your trust and safety teams with advanced AI content detection capabilities, ensuring precise identification of deepfakes with transparency. Furthermore, bolster identity verification and KYC compliance by protecting against the risks posed by AI-generated synthetic IDs. AI or Not serves as a web platform designed to assist users in swiftly and accurately discerning whether an image originates from AI or human creation, and if the former, it pinpoints the specific AI model utilized. For those needing to analyze multiple images, we provide an API that facilitates bulk analysis and easy integration into existing platforms. While our service allows free analysis for individual images, we also offer a premium API for extensive image assessments and commercial applications. In this rapidly evolving digital landscape, staying informed about the authenticity of content is more crucial than ever.
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Phocus
Phocus enables users to harness the power of our sophisticated AI deepfake detection API, DeepDetector. With this platform, individuals can easily manage employee accounts and submit images or videos for thorough examination via a user-friendly interface. After submission, Phocus generates an in-depth report detailing the likelihood that the submitted visual content is a deepfake, complete with a heat map for in-depth analysis. Additionally, Phocus securely saves these analytical results within the platform, providing users with the convenience of accessing their findings at any time. Experience the forefront of deepfake detection technology with Phocus, your trusted AI detection solution, and invite colleagues or external partners to collaborate. The detection process not only identifies potential deepfakes but also offers insightful explanations, ensuring users understand the results clearly. Moreover, the heat map highlights specific areas of the image that may raise suspicion, enhancing the overall analysis experience.
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