Armour365

armour365 Voice Biometrics, developed by Gnani.ai, is a solution designed to provide secure voice-based authentication for customer service automation. This technology caters to small to large enterprises across various industries, including contact centers, banking and insurance, chatbots and virtual assistants, home security, IoT, mobility, and healthcare.

Key Features

Language and text independent: According to the vendor, armour365 Voice Biometrics is a language and text agnostic solution, allowing for seamless authentication regardless of the user's language or the content of the spoken text.

Highly secure and privacy compliant: The solution is designed with security measures and privacy compliance in mind, ensuring the protection and secure handling of sensitive voice data.

Patent-pending technology: The vendor claims that armour365 Voice Biometrics utilizes patent-pending technology to provide an innovative approach to voice-based authentication.

Anti-spoofing and replay attack layer: The solution includes an anti-spoofing and replay attack layer, which the vendor says helps detect and prevent fraudulent attempts to bypass the voice authentication system.

Accurate and secure Voice Biometrics software: According to the vendor, armour365 Voice Biometrics is positioned as accurate and secure voice biometrics software, providing reliable and trustworthy authentication.

Enrolment Audio Duration: The duration of the audio required for the enrolment process is 5 seconds, as stated by the vendor.

Verification Audio Duration: The duration of the audio required for the verification process is 3 seconds, according to the vendor.

Channels Supported: armour365 Voice Biometrics supports multiple channels, including telephony, app, web, and social platforms, as claimed by the vendor.

Single Enrolment Across all channels: Users can enroll their voice once and use it across all supported channels for authentication, as stated by the vendor.

Replay Attack Detection: The solution includes a replay attack detection mechanism to identify and prevent fraudulent attempts using recorded voice samples, according to the vendor.