Arsen, a leading cybersecurity startup, has launched its new Vishing Simulation module, an innovative tool designed to train employees in combating the growing threat of voice phishing. This module utilizes advanced AI-generated voices and adaptive dialogue systems to create highly realistic and scalable simulations of live phone-based social engineering attacks, such as those impersonating IT support. With attackers increasingly leveraging phone calls for credential theft and initial access, this solution helps organizations extend their security training beyond traditional email-based threats.
Unlike conventional red team exercises or pre-recorded vishing attempts, Arsen’s AI-powered simulations dynamically adapt to employee responses, handling objections and hesitation with lifelike, unscripted dialogue. The system can also simulate realistic, high-pressure attacker behavior across various languages and accents, ensuring a comprehensive training experience. According to Thomas Le Coz, CEO at Arsen, the platform’s ability to leverage AI for training every exposed employee, rather than just VIPs, marks a significant step in preparing against next-generation attacks.
The Vishing Simulation module offers realistic, scalable, and customizable options.
Its AI voice engine provides emotionally nuanced, multilingual, and accent-aware voices, allowing organizations to replicate actual attacker techniques safely and ethically. This module is available as an optional add-on to Arsen’s existing social engineering training platform or as a standalone solution, offering flexible integration into current licensing agreements.
By automating highly realistic voice phishing simulations, Arsen empowers security teams, CISOs, and risk managers to train every employee with a phone line, not just executives. This allows organizations to benchmark their resilience to vishing threats and build essential reflexes and awareness against manipulative voice-based attacks. Early adopters have praised the module’s realism and interactivity, noting that the simulations are virtually indistinguishable from real-world attacks.
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