In a world where passwords are forgotten, OTPs are intercepted, and customers expect instant service, identity must be both seamless and secure.
Synnerva delivers next-generation Voice Biometrics solutions that authenticate users based on their unique voiceprint — while continuously monitoring conversations for fraud risk in real time. Deployed on-premise or in the cloud, our solutions integrate with contact centers, IVR, mobile apps, and digital channels to create a unified, intelligent identity layer.
Voice biometrics analyzes over 100+ behavioral and physiological characteristics of a person’s speech — tone, pitch, cadence, vocal tract shape, and speaking patterns — to generate a secure, encrypted voiceprint.
Unlike passwords or knowledge-based questions, a voiceprint:
It transforms identity verification from a friction point into an invisible security layer.
Authenticate users silently during conversation (passive) or through a prompted phrase (active), without increasing call handling time.
Identify:
Fraud alerts are triggered instantly — enabling agents or automated systems to take action before financial or reputational damage occurs.
Beyond initial login, voice biometrics can continuously verify the speaker throughout a session, reducing takeover risk mid-conversation.
Voiceprints can be linked with CRM, fraud systems, case management, and digital identity platforms to create a unified customer risk profile.
Detect repeat fraudsters across multiple calls using voice blacklists and shared fraud intelligence databases.
Add a secure biometric layer when users forget credentials or attempt sensitive changes.
Trigger step-up verification when transaction patterns or speech behaviors indicate elevated risk.
Detect AI-generated or replayed audio attempts — increasingly critical in the era of generative AI.
Voice is more than identity — it is behavior.
By combining biometric voiceprints with speech analytics and AI-driven risk scoring, Synnerva enables:
This moves fraud detection from post-event investigation to real-time prevention.
Modern authentication is no longer single-factor.
Voice biometrics does not compete with passkeys, face recognition, or device-based authentication — it strengthens them.
In digital channels, passkeys and device binding provide strong cryptographic identity.
In voice channels, voice biometrics ensures the speaker matches the enrolled identity.
Together, they create:
For example:
This layered model delivers both customer convenience and enterprise-grade security.
Synnerva provides flexible deployment models:
Our approach ensures voice biometrics becomes part of a broader AI-driven identity and risk orchestration layer, not just a standalone tool.
