Voice Biometrics

Easy Identity Verification Solid Fraud Defense

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:

  • Cannot be guessed or socially engineered
  • Does not rely on what a user knows
  • Authenticates users passively during natural conversation

It transforms identity verification from a friction point into an invisible security layer.

Passive & Active Authentication

Authenticate users silently during conversation (passive) or through a prompted phrase (active), without increasing call handling time.

Identify:

  • Impersonation attempts
  • Known fraudster voice matches
  • Synthetic or AI-generated voice attacks
  • Behavioral anomalies during live interactions

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 Man in the Middle takeover risk.

Once a user voice print is created, verification can happen over any channel i.e. IVR, Agents, Mobile App, Web, Social Messaging etc.

High-Impact Use Cases

Reduce AHT & Improve Security

Lets take the friction out of the play

Replace knowledge-based questions and reduce call handling time while improving user experience.

Detect know fraudsters using voice blacklists and shared fraud intelligence databases.

Identify unknown fraudsters through clustering and pattern recognitions.

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 Biometrics + Fraud Monitoring A Powerful Combination

Voice is more than identity  it is behavior.

By combining biometric voiceprints with speech analytics and AI-driven risk scoring, Synnerva enables:

  • Behavioral risk detection (stress, hesitation, script reading patterns)
  • Known fraud ring identification
  • Real-time risk scoring dashboards
  • Automated workflow triggers for suspicious sessions

This moves fraud detection from post-event investigation to real-time prevention.

Voice Biometrics + Fraud Monitoring (2)

Layered Defense Approach

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:

  • Seamless multi-channel authentication
  • Step-up verification for high-risk interactions
  • Reduced reliance on OTPs and SMS
  • Stronger protection against account takeover

For example:

  • A user logs in via passkey on mobile
  • Later calls support  voice biometrics confirms identity
  • If risk is detected, step-up authentication is triggered

This layered model delivers both customer convenience and enterprise-grade security.

Deployment Architecture

Synnerva provides flexible deployment models:

  • On-premise deployment for data sovereignty and regulatory environments
  • Private cloud or hybrid environments
  • Integration with CCaaS, CPaaS, IVR, CRM, fraud engines, and AI platforms
  • Secure voiceprint encryption and lifecycle management

Our approach ensures voice biometrics becomes part of a broader AI-driven identity and risk orchestration layer, not just a standalone tool.