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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NINJIO
NINJIO is an all-in-one cybersecurity awareness training solution that lowers human-based cybersecurity risk through engaging training, personalized testing, and insightful reporting. This multi-pronged approach to training focuses on the latest attack vectors to build employee knowledge and the behavioral science behind human engineering to sharpen users’ intuition. Our proprietary NINJIO Risk Algorithm™ identifies users’ social engineering vulnerabilities based on phishing simulation data and informs content delivery to provide a personalized experience that changes individual behavior.
With NINJIO you get:
- NINJIO AWARE attack vector-based training that engages viewers with Hollywood style, micro learning episodes based on real hacks.
- NINJIO PHISH3D simulated phishing identifies the specific social engineering tricks most likely to fool users in your organization.
- NINJIO SENSE is our new behavioral science-based training course that shows employees what it “feels like” when hackers are trying to manipulate them.
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Hoxhunt
Hoxhunt is a Human Risk Management platform that goes beyond security awareness to drive behavior change and (measurably) lower risk. Hoxhunt combines AI and behavioral science to create individualized micro-training moments users love, so employees learn to detect and report advanced phishing attacks. Security leaders gain outcome-driven metrics to document drastically reduced human cyber risk over time. Hoxhunt works with leading global companies such as Airbus, DocuSign, AES, and Avanade.
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Quantum Training
Each year, our penetration tests reveal that the greatest vulnerability for most organizations stems from their personnel. In particular, social engineering and spear-phishing schemes can result in various threats, such as ransomware attacks, account takeovers, data breaches, and even data loss. Consequently, as your organization expands, the potential for human-related vulnerabilities also increases. Fortunately, educating your employees on how to resist social engineering attacks can significantly reduce these risks, making it an essential element of your cybersecurity strategy. At Silent Breach, we have developed a comprehensive online security awareness training program tailored to the evolving needs of today's workforce. Our Quantum Training platform enables your team to engage in training at their convenience through a series of brief videos, interactive quizzes, and phishing simulations, ensuring they are well-prepared to tackle potential threats. By investing in this training, you not only enhance your security posture but also foster a culture of vigilance among your staff.
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