Authenticate real humans. Prevent deepfake voice fraud.
MFA-compliant continuous monitoring through advanced voice biometrics.
Voxmind verifies identity, human presence and voice authenticity in the same interaction, with MFA-compliant continuous monitoring that helps detect synthetic speech, replay attempts and changing risk signals throughout the session.
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InvestorInfrastructure PartnerAccelerator AlumniPartnerMember OrganizationAccelerator AlumniInvestorThe voice biometrics gap left by the cloud platforms
Microsoft retired Azure Speaker Recognition on September 30, 2025, and Amazon Connect Voice ID support ended on May 20, 2026. Enterprises that relied on cloud speaker recognition now need a replacement path that supports real time authentication, deepfake detection, MFA-compliant continuous monitoring and deployment flexibility across cloud, edge and on device environments.
Enterprises replacing legacy speaker recognition need more than a one time voice match. Voxmind provides an MFA-compliant voice authentication layer with continuous identity and authenticity monitoring for teams moving beyond Amazon Connect Voice ID or Azure Speaker Recognition.
Attackers now use AI to perfectly clone voices, bypassing traditional security measures.
Knowledge-based questions frustrate customers and increase average handle time.
Traditional voice biometrics require cloud connectivity and substantial compute resources, making edge deployment on IP phones and IoT devices impractical. Voxmind's engine runs entirely on-device in under 500MB with no cloud or GPU required.
Sources: AWS, Google, Microsoft product announcements; FBI IC3 advisories
Only real voices pass the test.
Voxmind helps enterprises add a live human voice factor to MFA-compliant workflows, verifying whether the interaction is real, human and structurally authentic, then continuing to monitor voice risk throughout the session.
Phoneme level vocal biomarkers allow Voxmind to support MFA-compliant voice authentication and continuous monitoring across languages, accents and dialects without separate regional voice models.
Deepfake detection runs alongside identity verification, helping teams identify cloned, synthetic, replayed or converted voices before access is granted and as the interaction continues.
For hardware, regulated environments and latency sensitive voice workflows, Voxmind can move authentication and continuous monitoring closer to the point where audio is captured.
Real-time verification with average latency of 1.2-2.8 seconds. No knowledge-based questions, no customer friction.
Deployed Your Way
Choose the architecture that matches the voice environment: on device authentication, platform native integration, enterprise voice security or cloud scale deployment.
On-Device Authentication
For hardware OEMs and edge deployments
Continuous monitoring can run where cloud calls are unavailable or undesirable, helping OEMs and embedded systems verify both speaker identity and voice authenticity locally.
Platform-Native Integration
For CCaaS, UCaaS, and voice AI platforms
For CCaaS, UCaaS and voice AI platforms, Voxmind can add MFA-compliant continuous voice identity and authenticity monitoring without forcing teams to rebuild their existing audio pipeline.
Enterprise Voice Security
For financial services, telecom, and high-value voice interactions
For high value voice interactions, Voxmind adds an MFA-compliant voice factor that helps protect account recovery, payment approval, credential reset, identity change and sensitive customer support workflows.
AI Voice Fraud Is Exploding.
We Catch It.
surge in deepfake fraud since 2023
The threat is no longer limited to static recordings. Modern attacks include cloned speech, live voice conversion, replayed audio and synthetic voices injected into legitimate workflows. Voxmind adds MFA-compliant voice authentication with continuous monitoring across the session.
Real-Time
Parallel detection during every call
Synthetic + Replay
Catches clones AND recorded playback
Continuous
Continuously monitors the voice interaction from start to finish, assessing identity confidence, human authenticity and fraud signals as part of an MFA-compliant voice security workflow.
Measurable business outcomes
The commercial value comes from combining faster authentication, MFA-compliant voice verification and continuous monitoring, reducing manual checks while helping fraud teams detect synthetic voice risk before loss occurs.
Reduce authentication
Minutes → Seconds
Lower operational costs
Up to 40%
Improve CX
Higher CSAT
Illustrative calculation based on industry benchmarks. Schedule a demo for custom ROI analysis.
How it works
Enroll. Verify. Detect. Monitor. Voxmind creates the voiceprint, verifies identity, checks for synthetic or replayed speech, and supports MFA-compliant continuous monitoring across the interaction.
Verify
Verifies identity in real time against the enrolled voiceprint.
Detect
Checks for synthetic or replayed speech before access is granted.
Monitor
Supports MFA-compliant continuous monitoring across the interaction.
Built for Integration
Teams can integrate MFA-compliant voice authentication and continuous monitoring through REST APIs, streaming protocols, SIP or embedded SDKs, depending on where audio is captured and where the decision needs to happen.
Security & privacy by design
MFA-compliant voice authentication must still respect enterprise controls over raw audio, voiceprints, authentication telemetry, retention, deletion, encryption and data residency, with clear biometric data protection for regulated voice environments.
Encryption
End-to-end encryption for all voice data in transit and at rest.
Access Controls
Role-based access control and API key management.
Audit Logs
Comprehensive audit trails for compliance and forensics.
Regional Hosting
Data residency options to meet local regulations.
See Voxmind in your contact center.
See how Voxmind combines real human authentication, deepfake voice fraud prevention, MFA-compliant voice verification and continuous monitoring in your enterprise voice environment.