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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Criminal IP functions as a cyber threat intelligence search engine designed to identify real-time vulnerabilities in both personal and corporate digital assets, enabling users to engage in proactive measures. The concept behind this platform is that by acquiring insights into potentially harmful IP addresses beforehand, individuals and organizations can significantly enhance their cybersecurity posture. With a vast database exceeding 4.2 billion IP addresses, Criminal IP offers crucial information related to malicious entities, including harmful IP addresses, phishing sites, malicious links, certificates, industrial control systems, IoT devices, servers, and CCTVs. Through its four primary features—Asset Search, Domain Search, Exploit Search, and Image Search—users can effectively assess risk scores and vulnerabilities linked to specific IP addresses and domains, analyze weaknesses for various services, and identify assets vulnerable to cyber threats in visual formats. By utilizing these tools, organizations can better understand their exposure to cyber risks and take necessary actions to safeguard their information.
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RapidSpike
RapidSpike engages with customers digitally in a manner that mirrors their experiences, while simultaneously observing both authentic and simulated customer interactions externally to deliver valuable insights for enhancing and safeguarding the digital experience. Additionally, RapidSpike's Magecart Attack Detection is designed to identify security breaches on the client side, ensuring the protection of customer information, helping businesses evade substantial penalties, and maintaining their reputational integrity in the process.
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Azul Platform Prime
Zing is the sole JVM that incorporates pauseless garbage collection technology, which guarantees rapid startup times and consistently high performance without experiencing GC pauses or jitter. This unique feature makes Zing particularly well-suited for both Linux and x86 platforms, allowing it to be deployed either on-premises or in the cloud. It is ideal for enterprise applications and production workloads, such as web-facing applications, latency-sensitive trading, and payment processing systems. One vice president of Infrastructure Technology and DevOps noted in a survey that Zing is the only JVM he could depend on without worry. Similarly, a CTO expressed confidence that Azul is the only JVM capable of performing reliably in high-pressure environments. This level of trust underscores Zing's reputation for stability and efficiency in demanding scenarios.
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