Compare Adaptive Security vs. Deepware

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.

Deepfakes represent a formidable challenge that AI poses to humanity, marking a significant turning point in cybersecurity. The industry must act swiftly to address the threats posed by deepfakes, as their potential to erode public trust in what is real looms large. This emerging danger, characterized by the malicious deployment of AI-generated synthetic media, stands as one of the most potent cyber weapons we have encountered to date. We anticipate that harmful applications of deepfakes will soon manifest, particularly in the form of sophisticated phishing attacks. A critical obstacle remains the current inadequacy of legitimate voice-swapping technologies, which presents a far greater risk than the more commonly discussed face or head-swapping methods. With the rapid advancement of AI, the need for robust countermeasures has never been more urgent.