armour365 Voice Biometrics vs LumenVox Active Voice Biometrics

armour365 Voice Biometrics verifies customers, employees, and other users by voice, without depending on a particular language or spoken text. It lists telephony, app, web, and social channels, with five seconds of audio for enrollment and three seconds for verification. The maker states that authentication responds in under two seconds. Active authentication can use dynamic pass phrases, and one registration is listed for both active and passive modes. The protection layer is intended to detect recorded and synthetic voices. The product comparison puts equal error rate, false acceptance rate, and false rejection rate below 2% each. Integrations cover more than 20 CRMs and apps, with REST and gRPC connections to existing systems. Cloud and on-premise deployments are available. The maker says voice data is stored and retrieved in an encrypted environment and that Gnani is ISO 27001 certified. Use cases include customer verification, claim management, employee authentication, and customer onboarding for contact centers, banking, and insurance. Developers have a free-for-life plan; paid access is listed from $149/mo.

LumenVox Active Voice Biometrics provides text-dependent voice authentication for enterprises seeking identity assurance beyond passwords, PINs, and security questions. Containerized microservices run on Kubernetes on-premises, in private or public clouds, or across hybrid environments. A deep-neural-network engine supports active, passive, and hybrid authentication. Enrollment and verification can use any passphrase and language supported by the corresponding ASR engine. Playback, liveness, synthetic-speech, and fraud-watchlist checks address presentation attacks. APIs create, retrieve, disable, re-enable, and remove identities and query enrollment status. Biometrics, Speech, Management, and Reporting APIs are exposed through gRPC and REST. Supported channels include contact-center IVR, smartphone and web applications, desktop applications, virtual assistants, video calls, messaging platforms, and conversational AI. Enrollment requires at least three separate utterances. Audio must be headerless base64 PCM-16, A-law, or μ-law at 8 kHz. Data is encrypted at rest and in transit, with customer-controlled keys and TLS between components. Pricing is on request.