
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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Sumsub is an all-encompassing verification platform that facilitates global customer onboarding, accelerates access, lowers expenses, and combats digital fraud effectively. By integrating robust verification processes with enhanced conversion rates across the globe, Sumsub offers a comprehensive suite tailored to diverse requirements, including KYC/AML checks, KYB verifications, payment fraud mitigation, and facial recognition authentication. This versatility not only streamlines operations for businesses but also enhances user experience, making it a preferred choice in the realm of digital verification solutions.
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DeepFake-o-meter
An innovative platform equipped with state-of-the-art techniques for identifying deepfakes is now accessible for public use. Users have the capability to upload one video file from their computer at a time. Deepfakes refer to AI-generated altered media that can create deceptive portrayals of individuals and their behaviors, which can lead to serious consequences if exploited. The DeepFake-o-meter, developed by the UB Media Forensics Lab, is an open-source solution aimed at detecting deepfake technologies produced by external sources. It provides an intuitive service that analyzes deepfake content utilizing various sophisticated detection methods, ensuring that results are generated securely and confidentially. In addition, it includes an API framework that allows developers to incorporate their deepfake detection algorithms and run them on a remote server. This platform not only supports developers but also acts as a crucial resource for researchers in the field of digital media forensics, allowing them to evaluate and compare the effectiveness of different detection algorithms. By fostering collaboration and innovation, this comprehensive approach significantly strengthens efforts against the irresponsible use of deepfake technology. As a result, it contributes to a safer digital environment where misinformation can be effectively challenged.
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DuckDuckGoose AI
DuckDuckGoose is an enterprise-grade deepfake detection platform designed to protect organizations from the growing threat of synthetic media. The platform analyzes digital content such as images, videos, audio recordings, and identity documents to determine whether they have been generated or manipulated by artificial intelligence. Its technology is designed for identity verification systems, compliance teams, digital risk analysts, and fraud prevention workflows. DuckDuckGoose integrates seamlessly with existing platforms through APIs and SDKs, allowing organizations to add deepfake detection capabilities to their verification and moderation systems. The platform can operate in cloud, on-premise, or hybrid environments, giving enterprises flexibility in how they deploy the technology. Its detection engine is trained on large and adversarial datasets to identify sophisticated synthetic media with high accuracy. The system delivers results in seconds while maintaining extremely low false-positive rates, ensuring legitimate content is not incorrectly flagged. Each detection result includes explainable AI insights, visual traces, and machine-readable logs that support audit trails and regulatory requirements. DuckDuckGoose provides multiple specialized tools, including Phocus for detecting deepfakes across images, videos, and audio, Waver for identifying AI-generated speech, and DeepDetector for real-time video and image analysis. These solutions help organizations secure onboarding processes, detect identity fraud, and moderate digital content more effectively. The platform also supports regulatory compliance requirements such as KYC and GDPR by providing transparent evidence for verification decisions. By combining advanced AI detection with enterprise-ready integration, DuckDuckGoose helps organizations ensure digital authenticity and protect systems from synthetic identity and media fraud.
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