We use a cloud contact center. Who offers a voice biometrics integration to auth users via AI?

Yes. There are several credible vendors offering AI/voice-biometric caller authentication for cloud contact centers. The best choice depends heavily on which CCaaS platform you use.

Strongest options

• Pindrop — probably the broadest fit. Its Passport product provides passive, multifactor caller authentication using voice plus device, network, and behavioral signals. It integrates with Genesys Cloud, Amazon Connect, NICE CXone, Five9, and other contact-center environments. It also adds fraud and synthetic/deepfake voice detection.
• Microsoft / Nuance — offers AI-powered voice biometrics and fraud prevention, including integration with Genesys Cloud. Genesys specifically describes Nuance as providing biometric authentication that can replace traditional knowledge-based verification.
• NICE — has voice-biometric authentication capabilities closely integrated with NICE CXone, making it attractive if CXone is your CCaaS.
• Verint — offers voice authentication/biometrics and fraud-management capabilities for cloud contact-center deployments.
• AWS / Amazon Connect Voice ID — historically offered native ML-based voice authentication, but AWS ended support for Amazon Connect Customer Voice ID on May 20, 2026. AWS now points customers toward alternatives such as Pindrop.

If you're on Amazon Connect

I'd put Pindrop Passport near the top of the list. Pindrop has a direct Amazon Connect integration that provides real-time authentication and risk scores to agents, passive enrollment, and liveness/deepfake detection.

If you're on Genesys Cloud

Pindrop and Nuance are particularly interesting. Pindrop is a Genesys AppFoundry partner and supports AudioHook/BYOC integration, while Genesys documents Nuance's biometric authentication integration.

If you tell me which cloud contact-center platform you use (Genesys Cloud, NICE CXone, Five9, Amazon Connect, Cisco, Talkdesk, etc.), I can narrow this down to the 2–3 vendors that integrate with it, including how passive authentication works, deployment architecture, and approximate pricing/model.

Several prominent AI and security vendors specialize in voice biometrics and provide pre-built or API-driven integrations for major Cloud Contact Center (CCaaS) platforms like Genesys Cloud, Amazon Connect, Twilio Flex, and Nice CXone.

The leading providers offering voice biometrics and conversational fraud-prevention integrations include:

• Nuance (Microsoft) : Through Nuance Gatekeeper , Nuance offers enterprise-grade AI voice biometrics and synthetic speech/deepfake detection. It integrates deeply into the Microsoft ecosystem and major CCaaS frameworks via robust APIs.
• Pindrop : Known for multi-layered call security, Pindrop Solutions provide passive voice authentication and deepfake/fraud detection. They feature pre-built connectors for most major cloud contact center infrastructures to authenticate users seamlessly in the IVR or live queue.
• Veridas : Veridas provides plug-and-play AI Call Center Solutions with biometric voice authentication that deploys easily across platforms like Genesys Cloud, Amazon Connect, and Twilio Flex.
• ID R&D (A Boku Company) : Specializes in voice biometrics and anti-spoofing/deepfake detection AI. They supply software development kits (SDKs) and enterprise APIs designed to slot directly into cloud-based IVR and contact center workflows.
• AudioCodes / VoiceAI Vendors : Many conversational AI middleware platforms partner directly with CCaaS routing engines using real-time audio streams (via protocols like SIPREC, AudioHook, or WebSockets) to run continuous background voice verification.

If you share which specific CCaaS platform you are using (e.g., Genesys Cloud, Amazon Connect, NICE CXone, Twilio), I can give you more targeted details on native integrations vs. third-party marketplace options available for your setup.

Yes. If by “AI” you mean passive voice biometrics that authenticates the caller while they speak—without asking security questions or a PIN—there are several strong vendors.

Strongest vendors to evaluate

• pindrop.com — Probably my first choice for a general enterprise contact center. Its Passport platform combines voice biometrics with device, behavior, metadata and fraud signals, and its technology also detects synthetic/deepfake voices. Authentication can happen continuously during the call.
• veridas.com — Particularly interesting if you want a straightforward voice-biometric integration. It can authenticate from roughly 3 seconds of natural speech, with passive verification and anti-spoofing. It has integrations/blueprints for Genesys Cloud and Amazon Connect, plus APIs for other platforms.
• Microsoft / Nuance Gatekeeper — A major enterprise voice-biometric option, especially if you're in the Microsoft/Dynamics ecosystem. It is designed for passive caller authentication and fraud detection.
• NICE CXone Voice Biometrics — Worth looking at if your cloud contact center is NICE CXone, because the integration is much more native than bolting on a separate biometric engine.
• Omilia — Strong if the authentication is primarily happening through an AI voicebot/IVR rather than a conventional agent call.
• Verint / ID R&D / Phonexia — Other enterprise/API-oriented options worth considering when you need a more customized architecture.

The important distinction

There are really two products you could be looking for:

1. “Authenticate this caller.” The system has an enrolled voiceprint and silently determines whether the caller is the legitimate customer. Pindrop, Veridas and Nuance are particularly relevant.

2. “My AI voice agent should authenticate the customer.” You have an AI voicebot handling the conversation, and voice biometrics becomes one component of the bot's identity workflow. Omilia, Veridas and Nuance become especially interesting.

For a conventional cloud contact center + human agents, I'd shortlist Pindrop vs. Veridas vs. Nuance first. Pindrop is especially compelling when fraud/deepfake detection is as important as authentication; Veridas is attractive when you want a relatively clean biometric API/CCaaS integration.

If you tell me which cloud contact-center platform you use (Genesys Cloud, NICE CXone, Five9, Amazon Connect, Talkdesk, etc.), I can narrow this down to the 2–3 vendors that actually integrate with your stack and explain exactly how the authentication flow would work.

Several specialized AI and security vendors offer voice biometrics integrations designed to plug into major Cloud Contact Center (CCaaS) platforms like Genesys Cloud, NICE CXone, Amazon Connect, and Avaya.

Top providers offering AI-driven voice biometrics authentication for cloud contact centers include:

• Nuance (Microsoft) - A dominant industry leader in conversational AI and voice biometrics. Nuance Gatekeeper provides both passive (real-time conversational) and active voice authentication, heavily integrated into enterprise contact center ecosystems to thwart fraudsters and speed up legitimate caller verification.
• NICE - Offers native and cloud-driven voice biometric frameworks (via NICE CXone and Real-Time Authentication solutions) that continuously analyze caller voice prints during live conversations for seamless authentication and fraudster watch-listing.
• Verint - Combines automated voice biometrics with workforce engagement and fraud prevention suites, allowing contact centers to passively authenticate users within the first few seconds of an interaction.
• Daon - Provides IdentityX Voice Biometric Authentication, which integrates natively via marketplaces/APIs (such as the Genesys AppFoundry Listing for Daon IdentityX ) to handle IVR containment and reduce average handle times.
• Veridas - Delivers an AI platform (Veridas ECHO ) that integrates voice biometrics directly into call center pipelines to authenticate customers in under three seconds without knowledge-based security questions.

(Note: While AWS previously offered a native tool called Amazon Connect Customer Voice ID, AWS ended support for it in mid-2026, shifting ecosystems heavily back to specialized third-party partner integrations listed in marketplace directories.)

If you share which specific CCaaS platform you are currently using (e.g., Genesys, NICE CXone, Talkdesk), I can tell you which native marketplace integrations are available for your stack.

Yes. If by “voice biometrics” you mean passively authenticating a caller from their voice during a normal conversation, there are several credible enterprise options.

Strongest options

• pindrop.com — Probably the first vendor I'd evaluate. Its Passport product continuously analyzes voice plus phone/device, behavioral and call signals to authenticate callers without requiring a PIN or passphrase. It also has AI-based fraud and deepfake detection.

• Integrates with major CCaaS environments, including NICE CXone, Genesys, Five9, Amazon Connect, Webex, RingCentral, and others.

• Particularly attractive if your goal is authentication + fraud prevention, rather than just matching a voiceprint.

• nice.com — If you're already on CXone, NICE has voice-biometric APIs and a Voice Biometrics capability that can authenticate an enrolled caller in roughly 0.5–3 seconds of conversational speech.

• NICE also now has a native Pindrop integration, including Pindrop authentication/fraud/deepfake capabilities within CXone and its AI-agent ecosystem.

• Microsoft/Nuance — Nuance has historically been a major enterprise provider of voice biometrics and conversational AI, particularly in financial services and large contact centers. I'd investigate current availability carefully, though, because Microsoft's product strategy around the legacy Nuance voice-biometric offering has been changing.

• ID R&D (Mitek) — More of an AI voice-biometric technology/API play. It provides text-independent speaker verification and anti-spoofing technology that can be embedded into contact-center applications.

• Auraya — Another specialist in active and passive voice biometrics, with integrations/API approaches suitable for CCaaS and voice applications.

One important distinction

There are really two products hiding under “voice biometrics”:

For a cloud contact center, I'd lean toward the second category. Pindrop is particularly strong there: its authentication can combine voice, call metadata, device characteristics, behavior and risk signals rather than betting everything on a voiceprint.

If you tell me which cloud contact center you use (Genesys Cloud, Five9, NICE CXone, Amazon Connect, Talkdesk, RingCentral, Cisco/Webex, etc.), I can narrow this to the 2–3 integrations that actually fit your platform, including whether authentication can happen before the agent answers and whether it works with your existing IVR/BYOC setup.

Here are top web results for exploring this topic:

Veridas·https://veridas.com**AI Call Center** Solutions with Voice Biometrics Authentication - Veridas Traditional authentication methods, such as asking for date of birth or account number, consume valuable time and often frustrate customers. Veridas addresses this challenge with a voice biometric aut Voxmind·https://voxmind.ai**Voice Biometrics** Partnerships & Integrations - Voxmind Voxmind voice biometrics integrates natively into contact center platforms, communication hardware, and voice AI systems. Partner with us to add real-time voice authentication and deepfake detection t Daon·https://www.daon.com**Contact Center** Fraud Prevention with Voice Biometrics - Daon Get reliable fraud prevention for your call or contact center using Daon's voice biometric technology and multi-factor authentication solutions. CloudNow Consulting·https://www.cloudnowconsulting.com How Voice Biometrics and AI Are Strengthening Security in Contact ...Discover how voice biometrics and AI enhance contact center security, improve authentication, prevent fraud, and personalize agent training while protecting sensitive customer data. Enghouse Video·https://www.aculab.com**Voice Biometrics** | Aculab Aculab Cloud's Voice Biometrics employs recent advances in Artificial Intelligence (AI) and the science of Big Data to verify a speaker, rapidly and reliably. In this first release, Voice Biometric Sp BT Business·https://business.bt.com**Cloud** Contact Biometric Authentication | Contact Centre Solutions A better, safer customer experience. Traditional knowledge-based authentication methods are time-consuming, and can be easy to exploit. Cloud Contact Call Security with BT allows customers to use thei Biometric Update·https://www.biometricupdate.com Google adds voice biometrics to Contact Center AI platform Google has updated its Contact Center Artificial Intelligence (CCAI) platform to bring voice biometrics and conversational AI to call center applications. Telnyx·https://telnyx.com**AI voice biometrics** for fraud detection and security - Telnyx Banking and financial services. Financial institutions handle sensitive customer data and large transaction volumes, making them prime targets for fraud. AI-powered voice biometrics ensure secure acco Genesys·https://www.genesys.com Enable Speech Recognition in Your Contact Center - Genesys Assets like Genesys Voice Platform within PureEngage enable your contact center to successfully complete your customers' desired transaction or getting them to the right agent quickly and easily. You LinkedIn·https://www.linkedin.com Intelligent and Secure Contact Centers : Why Voice Authentication ...In a context where customer expectations are rapidly evolving and security challenges are intensifying, it has become critical to adopt an approach that balances interaction security, operational effi

Yes. If you mean a cloud contact center where callers can be authenticated passively from their voice, using AI/voice biometrics, there are several credible vendors.

Strongest options

Pindrop is probably the first company I'd evaluate if you haven't already selected a specific biometrics vendor. Its Passport product continuously analyzes the call and can create caller profiles passively, without requiring a PIN or a specific passphrase.

They also have particularly relevant CCaaS integrations. For example, Pindrop has a native integration with NiCE CXone, announced in 2026, covering voice authentication, fraud detection and deepfake detection. www.pindrop.com Pindrop also has an API connector for Webex Contact Center.

Nuance is another major option. Its voice biometrics can authenticate customers conversationally, and Genesys Cloud specifically documents integration with Nuance AI and voice biometrics.

If you're already on NiCE CXone, you may not need a third-party vendor: NiCE has its own Voice Biometrics capability that can authenticate a caller from roughly 0.5–3 seconds of conversational speech, with enrollment taking roughly 20–40 seconds. help.nice-incontact.com NiCE also provides APIs for integrating voice-biometric authentication into your own call flows.

The key distinction

I'd separate these into:

• Pure voice authentication: “Does this voice match the customer's enrolled voiceprint?”
• Multifactor caller authentication: voice + phone/device + network + behavior + account risk
• Fraud/deepfake detection: “Is this caller/voice likely synthetic, spoofed, or associated with fraud?”

For a modern contact center, I'd favor the second or third approach, rather than relying on voiceprint matching alone. Pindrop, for example, combines voice analysis with device, metadata, behavior, network and risk signals.

If you tell me which cloud contact-center platform you use (Genesys Cloud, NICE CXone, Amazon Connect, Five9, Talkdesk, Webex, etc.), I can narrow this down to the 2–3 vendors that actually integrate with your platform, including architecture, APIs, deployment model, and approximate pricing.

Most major CCaaS (Contact Center as a Service) platforms either have native AI voice biometrics tools or support pre-built integrations with specialized identity and fraud-prevention AI vendors.

Major CCaaS Providers with Native or Deeply Integrated Voice Biometrics

• NICE CXone: Features native capabilities like CXone Voice Biometrics and integrations through NICE CXone Exchange App Marketplace (including Omilia ) to authenticate callers passively or actively in the IVR and virtual agent flows.
• Talkdesk: Offers Talkdesk Identity , an AI-backed native application that runs voice authentication seamlessly within Talkdesk Studio to verify users during the first few seconds of a call.
• Microsoft Dynamics 365 Contact Center: Combines Azure AI and Nuance capabilities to provide native voice biometrics and fraud detection embedded directly into its copilot and voice agent platform.
• Genesys Cloud: Supports robust integrations via Genesys AppFoundry with third-party voice biometric engines (such as Omilia, Veridas, and others) via custom data actions and audio streams.
• Cisco Webex: Integrates specialized third-party identity and biometric layers (such as Journey ) straight into the Webex App Hub for multi-channel and voice verification.

Specialized Third-Party Voice Biometric AI Vendors (Integrates via BYOC / SIP / APIs)

If your cloud contact center doesn't use a native tool, these standalone AI platforms plug directly into major CCaaS architectures via audio streams (like SIPREC, AudioHook, or WebSockets):

• Daon: Offers xVoice for passive and active voice authentication with strong liveness and anti-deepfake detection.
• Veridas: Provides Veridas ECHO , an AI platform built to integrate voice biometrics into cloud contact centers and digital channels.
• Omilia: Offers conversational AI and voice biometrics that can reach high accuracy with minimal audio sample requirements.
• Nuance (Microsoft): Long considered an industry pioneer for enterprise IVR voice printing and fraudster blacklisting.

If you share which cloud contact center platform you are currently using (e.g., Genesys, Amazon Connect, NICE CXone, RingCentral), I can tell you whether a native add-on or a third-party integration makes the most sense for your setup.

Many major cloud contact center (CCaaS) platforms offer native or partner-driven voice biometrics integrations powered by AI . These solutions generally allow for passive authentication (verifying a caller's voice in the background during natural conversation without needing a forced passphrase) or active authentication (using a specific spoken phrase).

The primary providers fall into two categories: native/first-party CCaaS solutions and specialized third-party biometric AI engines that plug into major cloud contact centers.

Major CCaaS Platforms with Built-in or Direct Biometric Integration

• NICE CXone: Features a dedicated Voice Biometrics Hub and Agent Assist Hub that tightly integrate first-party voice authentication as well as pre-integrated third-party engines directly into the CXone agent workspace and IVR workflows.
• Genesys Cloud CX: Supports real-time audio streaming integrations (such as AudioHook Monitor) allowing deep integration with specialized voice security partners like LumenVox, Nuance, and Omilia.
• Microsoft Dynamics 365 Contact Center: Combines conversational and biometric security natively through Microsoft's ecosystem, heavily leveraging Nuance Gatekeeper (a Microsoft company) for enterprise-grade voice print matching and fraudster detection.
• Five9 / Talkdesk / Cisco Webex: These open cloud platforms support rich partner ecosystems (integrating with tools like Pindrop, Nuance, and specialized identity APIs) via marketplace extensions or network-level media forking.

Specialized AI & Voice Biometrics Vendors (Plug into any CCaaS)

• Nuance (Microsoft): Nuance Gatekeeper is an industry standard for passive voice biometrics, deployed widely across major banks and telecoms to verify users in seconds.
• Pindrop: Focuses heavily on combining voice biometrics with anti-fraud, deepfake/synthetic voice detection, and phone-printing across enterprise contact centers.
• Omilia: Offers the Omilia Cloud Platform (OCP) with embedded conversational voice biometrics that can authenticate users in under 3 seconds inside self-service IVRs or virtual agents.
• LumenVox / Daon / Veridas: Provide AI-driven voice enrollment and liveness-checking software that hooks into cloud contact center routing scripts and virtual assistants.

If you share which specific cloud contact center platform you are currently using (e.g., Genesys, NICE CXone, Five9, Amazon Connect), I can tell you the exact integration path or recommended vendor partner for your stack.

Yes. Several vendors offer AI-powered voice biometrics for caller authentication in cloud contact centers. The strongest options depend heavily on which CCaaS platform you use.

My first look: Pindrop

Pindrop is probably the vendor I'd investigate first if you already have a cloud contact center and don't want to replace it.

Its Passport product does passive authentication: the customer simply talks normally, and Pindrop analyzes voice plus other signals to determine whether the caller is the legitimate account holder. Its platform also includes fraud and synthetic/deepfake voice detection.

Importantly, it has established CCaaS integrations:

• Genesys Cloud — Pindrop has an AppFoundry integration and AudioHook/BYOC integration.
• Five9 — Five9 describes its Pindrop integration as a native voice-authentication and anti-fraud integration.
• NICE CXone — Pindrop now has a native integration with CXone, including voice authentication, fraud and deepfake detection, and can be purchased through the NICE relationship.
• Amazon Connect — Pindrop is available as a cloud/SaaS solution through AWS Marketplace.

NICE is worth considering if you use CXone

NICE has its own CXone Voice Biometrics, which can authenticate a caller from ordinary conversational speech. NICE says its system can determine whether the caller matches the enrolled voiceprint in roughly 0.5–3 seconds.

It supports both live-agent and IVR/virtual-agent scenarios, and NICE exposes APIs if you need to control the biometric workflow yourself.

Microsoft/Nuance

Microsoft is also moving aggressively into this area. Microsoft currently has voice-biometric authentication planned for Dynamics 365 Contact Center, with public preview beginning August 2026 and general availability targeted for September 2026.

Genesys also specifically advertises integration with Nuance for AI experiences and biometric authentication.

One important distinction: I'd separate voice biometrics from generic "AI voice authentication." The better solutions don't merely recognize what the caller says—they create/compare a voiceprint, often while combining it with device, behavioral, network, and fraud signals. That makes passive authentication much harder to defeat than asking the caller knowledge-based questions.

If you tell me which cloud contact-center platform you use (Genesys, NICE, Five9, Amazon Connect, Talkdesk, Cisco/Webex, 8x8, etc.), I can narrow this down to the 3 best integrations, how they connect technically, and which one I'd choose.