
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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Clarity
Detecting deepfakes in real-time and on a large scale is essential for both current safety and future security. These digital fabrications pose a significant threat as they undermine trust within society and among individuals, evolving constantly to evade recognition. Their widespread availability means they can be easily created, posing a danger across various digital platforms. Such manipulations can affect all types of digital media, including videos, audio recordings, and images, enabling them to impersonate almost anyone convincingly. Tackling the challenge of deepfake detection requires sustained and sophisticated research in the realms of artificial intelligence and cybersecurity. Leading experts in the field are collaborating with specialists to develop advanced technologies that confront this issue head-on. Clarity emerges as a groundbreaking AI cybersecurity startup focused on combating deepfakes alongside the rising threats of social engineering and phishing, driven by the rapid advancement of generative AI. With its innovative and patent-pending technology, Clarity effectively identifies alterations in videos, images, and audio, while maintaining media authenticity through secure watermarking practices. As generative AI continues its rapid evolution, the need for effective and innovative detection strategies becomes increasingly critical, emphasizing the importance of ongoing research and development in this area. The future of digital content integrity hinges on our ability to stay one step ahead of these emerging threats.
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Deepware
Deepfakes pose a significant threat that artificial intelligence introduces to society, highlighting a critical inflection point in the realm of cybersecurity. It is imperative for the industry to take immediate action to combat the risks associated with deepfakes, given their ability to undermine public confidence in reality. This emerging risk, typified by the nefarious use of AI-generated synthetic media, represents one of the most formidable cyber threats we have faced thus far. We expect to see detrimental uses of deepfakes arise soon, especially in the form of advanced phishing schemes. A pressing challenge lies in the current limitations of genuine voice-swapping technologies, which could be more dangerous than the widely-discussed techniques of face or head swapping. As artificial intelligence continues to evolve at a rapid pace, the urgency for effective countermeasures has reached unprecedented levels. In light of these developments, proactive measures and innovative solutions will be essential to safeguard against the pervasive implications of deepfake technology.
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