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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SOCRadar Extended Threat Intelligence
SOCRadar Extended Threat Intelligence is an all-encompassing platform built to proactively identify and evaluate cyber threats, offering actionable insights that are contextually relevant. As organizations strive for improved visibility into their publicly available assets and the vulnerabilities linked to them, relying only on External Attack Surface Management (EASM) solutions proves insufficient for effectively managing cyber risks; these technologies should be integrated within a broader enterprise vulnerability management strategy. Businesses are increasingly focused on safeguarding their digital assets from every conceivable risk factor. The traditional emphasis on monitoring social media and the dark web is no longer adequate, as threat actors continually adapt and innovate their attack strategies. Thus, comprehensive monitoring across various environments, including cloud storage and the dark web, is vital for empowering security teams to respond effectively. Furthermore, a robust approach to Digital Risk Protection necessitates the inclusion of services such as site takedown and automated remediation processes. By adopting this multifaceted approach, organizations can significantly enhance their resilience in the face of an ever-evolving cyber threat landscape, ensuring they can respond proactively to emerging risks. This continuous adaptation is crucial for maintaining a strong security posture in today's digital environment.
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Bolster
Auto-takedown is your cutting-edge solution in the ongoing battle against fraud and the complexities of risk management. Protect your online presence from various threats, including typosquat attacks, phishing sites, and account takeover (ATO) efforts. This system autonomously mitigates these risks for your employees, customers, and supply chain associates without requiring any manual intervention. By utilizing advanced threat intelligence and providing immediate outcomes, you achieve unmatched insight and authority over potential vulnerabilities. Bolster eliminates the need for extensive manual efforts by automatically gathering proof of brand violations and promptly dismantling phishing and fraudulent websites within a matter of minutes. Moreover, we offer a specialized team of takedown experts who manage more complex removals or challenging service providers. Additionally, you can detect and counteract SaaS platform misuse to safeguard against its exploitation in phishing or fraudulent activities. Our real-time detection API continuously monitors and identifies phishing, fraud, and scam URLs by evaluating each site through a sophisticated mix of computer vision and natural language processing methods. This holistic strategy integrates logo recognition with advanced linguistic analysis, ensuring robust defenses against online threats while adapting to the evolving landscape of digital fraud. Through this approach, you not only enhance security but also foster a safer online environment for everyone involved.
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BrandShield
BrandShield provides a wide array of solutions aimed at combating counterfeiting, phishing, and ensuring robust online protection for brands. Its services include proactive threat detection and the elimination of phishing risks disseminated through various social media channels. By monitoring different marketplaces and websites, BrandShield not only helps eliminate counterfeit products but also enhances brand reputation and revenue. The firm defends against trademark infringements, counterfeit sales, and various forms of brand misuse. As a company centered on digital risk protection for brands, BrandShield is proficient in the surveillance, identification, and resolution of digital threats, which encompass phishing attempts, impersonation of company leaders, counterfeit merchandise, and trademark violations. Established with the goal of revolutionizing the way organizations protect their digital resources beyond conventional security protocols, BrandShield has continually introduced cutting-edge features and services. These innovations are designed to provide the most pertinent and automated solutions that address the intricate challenges of the 21st century, including advanced tools like pattern recognition and comprehensive case management systems. This evolution in technology underscores the critical need to remain proactive in counteracting digital threats, ensuring that brands are well-equipped to navigate the complexities of an ever-evolving digital environment. Furthermore, BrandShield’s commitment to ongoing improvement reflects its dedication to safeguarding its clients' interests in a rapidly changing landscape.
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