© 2026 NervNow™. All rights reserved.
ByNN Desk
Emvo Launches Open-Source Voice Security Model
Emvo has released voiceSHIELD, an open-source speech-to-text model designed to detect potentially malicious audio inputs in real time while generating transcripts, aiming to strengthen security in voice-based AI systems.
The model, Voice Shield, aims to detect malicious audio inputs while transcribing speech in live environments
At the India AI Impact Summit 2026, Emvo announced the release of Voice Shield, an open-source speech-to-text model designed to detect potentially harmful audio inputs while generating transcripts in real time.
The company says the model is intended to address security risks associated with voice-based AI systems, including prompt injection through spoken input, social engineering attempts, and other adversarial audio techniques. As voice interfaces become more common in customer support systems, virtual assistants, and agent-based AI applications, concerns have grown about how these systems handle unsafe or manipulated audio.
Unlike many existing AI security tools that focus primarily on text inputs, Voice Shield is designed to process audio streams directly. According to Emvo, the model performs speech transcription and threat classification in a single forward pass, reducing latency. The company reports processing speeds between 90 and 120 milliseconds on mid-range GPUs.
Built on OpenAI’s Whisper architecture, the system produces a combined output that includes transcripts, threat labels, and associated confidence scores. The model contains approximately 88 million parameters and is designed for deployment in live voice environments such as call centers, voice assistants, and automated conversational systems.
Emvo has released Voice Shield as an open-source project, allowing developers and researchers to examine and modify the system. The company says the model was led by CTO and co-founder Sumit Ranjan, with a focus on building voice AI systems that are more predictable and secure in production settings.
In a statement at the summit, Emvo executives said the goal is to provide infrastructure-level safeguards for organizations deploying voice AI systems, particularly as adoption increases across enterprise environments.
The release reflects a broader industry trend toward embedding security layers directly into AI pipelines rather than treating them as separate monitoring systems.
