DeepTrust Security is a platform that monitors and analyzes live voice and video communications to detect deepfakes and risky security behaviors. The platform analyzes human-to-human communication across video conferencing platforms to identify adversarial use of AI, including deepfake audio and video impersonation attempts. The system provides behavioral insights by monitoring calls for data handling practices, social engineering attempts, and policy compliance violations. It identifies risky users, behaviors, and security blindspots in real-time communication. DeepTrust offers real-time security interventions that alert employees during calls when risks are detected. These interventions are customizable based on organizational policies and procedures. The platform includes customizable detection rules that allow security teams to define behavioral guidelines specific to their organization. The solution maps detected security behaviors to policies, regulations, and industry standards through role and risk mapping capabilities. It provides reporting and analytics on organizational security trends, user risk levels, and behavioral patterns over time. DeepTrust can be deployed across multiple video conferencing platforms and integrates into existing communication workflows. The platform addresses authentication challenges in voice-based verification systems and helps organizations respond to the growing threat of AI-powered social engineering attacks.