VoxProof — Runtime Security for AI Voice Agents

VoxProof is an enterprise-grade runtime security platform designed to protect AI-powered voice and conversational agents from adversarial attacks, unsafe tool execution, and data leakage. As AI agents increasingly gain access to operational tooling, customer data, financial actions, and autonomous workflows, organizations face a new class of runtime security threats including prompt injection, jailbreaks, social engineering, unauthorized refunds, data exfiltration, and voice-layer manipulation. VoxProof addresses these risks through a layered security architecture specifically designed for conversational AI systems. The platform combines deterministic policy enforcement with AI-assisted semantic threat classification to create a hybrid runtime defense pipeline. VoxProof includes replayable adversarial attack suites, real-time runtime monitoring, trust scoring, RAG sanitization, tool execution validation, and enterprise-grade reporting. Core platform capabilities include: Prompt injection detection Voice-layer attack analysis Whisper injection detection Tool argument policy enforcement Runtime trust scoring AI-assisted risk classification with Gemini Deterministic policy inspection via LobsterTrap Replayable attack simulations Real-time WebSocket monitoring Security report generation Compliance-oriented audit workflows The backend is built using FastAPI and Python, while the frontend uses React and TypeScript for a real-time operational dashboard. The platform is containerized with Docker and supports ARM infrastructure deployment, including Oracle Cloud ARM environments. VoxProof is designed for enterprise AI governance, customer support automation, financial voice agents, healthcare conversational systems, and organizations deploying autonomous AI workflows in production environments. The long-term vision is to become foundational runtime trust infrastructure for secure enterprise AI adoption.