Real-Time Voice Security with 90–120ms Latency, Open-Source, Sovereign, and Built for Responsible Innovation
India: At the India AI Impact Summit, New Delhi, 2026, Emvo has launched voiceSHIELD, India’s first open-source secure speech-to-text model designed to protect voice AI systems from malicious inputs in real time. The model addresses growing concerns around voice-based prompt injection, social engineering attacks, and unsafe audio inputs, providing a security-first foundation for enterprises and developers building voice agents, call center platforms, and conversational AI systems.
With the rapid adoption of voice interfaces across industries, organizations are increasingly exposed to new categories of threats that originate directly from audio inputs. Most AI security solutions today focus on text and APIs, leaving voice systems unprotected against manipulation, data extraction attempts, and adversarial speech. Limited visibility and the absence of real-time defenses make voice AI deployments vulnerable in production environments.
VoiceShield provides a strategic solution, enabling organizations to detect malicious speech while simultaneously generating transcripts in real time. Built on the Whisper architecture, the model performs classification and transcription in a single forward pass, achieving low latency between 90 and 120 milliseconds on mid-range GPUs. This allows enterprises to filter or sanitize unsafe audio before it reaches downstream large language models or voice agents.
The model is built for real-time voice security use cases, including call center monitoring, voice assistants, and agentic AI systems. It supports standard audio formats and produces transcripts, threat labels, and confidence scores in a unified output. With approximately 88 million parameters, the system delivers high accuracy and low false-positive rates while maintaining production-grade latency for live voice environments.
Designed as an open-source initiative, voiceShield enables enterprises, researchers, and developers to inspect, test, and improve the model. The system was architected and led by Emvo’s CTO and Co-founder, Sumit Ranjan, whose work focuses on sovereign AI development, making models more deterministic and secure through fine-tuning, with an emphasis on responsible innovation. By releasing the system openly, Emvo aims to accelerate responsible AI adoption and strengthen the voice security ecosystem through community collaboration.
“Voice interfaces are becoming the front door to AI systems, but security for voice has been largely ignored,” said Vaibhav Anand, CEO of Emvo. “With voiceSHIELD, we are giving the community a real-time, open-source foundation to build secure and responsible voice AI systems at scale.”
“Real-time voice security requires fundamentally different architectural choices compared to text-based systems,” said Sumit Ranjan, CTO and Co-founder of Emvo. “voiceSHIELD was designed to deliver both speed and reliability, so enterprises can deploy voice AI with confidence while maintaining strong security controls.”
“Open-source security models are critical for building sovereign and trustworthy AI ecosystems,” said Saurabh Kumar, Head of Growth & Co-founder at Emvo. “By releasing voiceSHIELD we are enabling enterprises and developers to take control of their voice AI security stack while contributing to responsible innovation.”
