Caller connects → Voiceprint or passphrase check → Agent confirms details → Request approved
Every check can pass on a synthetic voice. None asked whether the speech was generated.
Voice verification / NeuroVerify
Deepfake Detection API for Voice Verification
Banks, insurers and service providers verify callers by voice, passphrase or voiceprint. Cloned speech can now pass those checks and fool agents. NeuroVerify checks audio for synthetic or manipulated speech and returns one risk score with signal-level evidence.
It fits the call or voice-capture step you already run, with one API call and no new step for the caller.
NeuroVerify does not match a voiceprint or authenticate the caller; it adds an authenticity signal that your own verification and policy use.
Powered byNeuroVerifyExplore the product
- #1 of 36on the public VendorBench-100
- <200 msp95 on eligible image requests
- 6 → 1six checks, one unified score
- 0new steps for your customer
The gap
A voice that sounds right is no longer proof of the speaker.
Voice has become an everyday way to prove identity. Call centres use it to authenticate callers, banks offer voiceprints, and agents rely on a familiar voice or a spoken passphrase. Remote video and phone onboarding add audio to the evidence.
Speech synthesis and voice conversion now reproduce a person from a short sample, in real time, in many languages. Where speech was once a reliable signal, it is now something an attacker can generate on demand.
Why voice checks miss it
Voice biometrics compare a voice to an enrolled print. A clone built to sound like the account holder can score as a match, and the check asks whether it matches, not whether it was synthesised.
Knowledge questions can be answered by whoever holds leaked or social-engineered data.
Agents cannot reliably tell clones from real speech, particularly over compressed phone audio.
Liveness for voice is rarely a distinct control, and replayed or generated audio can satisfy simple prompts.
See biometric authentication fails against AI voice cloning for the background.
Threats
How cloned speech is used against voice checks
These are attack techniques, not claims about any organisation. Each turns synthetic or manipulated audio into trust.
01
Cloned voice against voice biometrics
A model trained on a short public sample produces speech that matches an enrolled voiceprint.
02
Real-time voice conversion on live calls
The attacker speaks and a conversion tool turns their voice into the target in real time, with natural pacing.
03
Synthetic caller in the contact centre
A generated voice requests a password reset, payee change or limit increase, with scripted answers to security questions.
04
Replay and spliced audio
Recorded speech, or segments cut together, is played into a prompt-based check.
05
Voice paired with a swapped face
In video calls, cloned audio matches a face swap so the whole session feels consistent.
06
Impersonating executives or family
A cloned voice of a known person is used to authorise a payment or extract credentials from staff or relatives.
Regulators are paying attention to synthetic voice. See FCC AI voice ruling and the TCPA and FinCEN deepfake fraud alert for examples.
NeuroVerify supports your controls with evidence; your policy decides what to do.
Where NeuroVerify fits
An authenticity check beside your voice check
NeuroVerify sits after your system captures call audio or a voice sample and before the agent or system acts on the caller. It checks audio for deepfakes and manipulation in one request, and returns a unified risk score with evidence.
Caller connects → Voiceprint or passphrase → Agent confirms → Request approved
No authenticity signal for the voice.
Caller connects → Voiceprint or passphrase → NeuroVerify risk score → Agent confirms → Request approved or escalated
Your voice check stays. Authenticity is added beside it.
Signals in one request
- Visual Safety Screening - Live Presence Verification - Face Manipulation Detection - AI Generative Model Analysis - AI Pixel-Level Manipulation - AI Content Compliance
For audio-only requests, the signals that apply to the supplied media are used. For video calls, the same request can check the face and audio together.
Where it fits
Use it in contact centres, IVR, voice onboarding, high-risk transaction confirmation and video calls with audio. See financial contact centre identity review and NeuroVerify.
NeuroVerify Unified Trust LayerSix parallel analysis layers
- Visual Safety Screening
- Live Presence Verification
- Face Manipulation Detection
- AI Generative Model Analysis
- AI Pixel-Level Manipulation
- AI Content Compliance
Capture audio as usual
Keep your contact-centre platform, IVR or voice-capture flow as is.
Send the audio sample
Post call audio or a voice clip to NeuroVerify from your backend or via the REST API or an SDK.
Read the unified score
Receive one risk score with signal-level evidence to attach to the call or case record.
Apply your policy
Continue, prompt step-up verification, or escalate to a fraud team, using your own thresholds.
What you get
What it changes for voice-verification teams
Keep voice authentication, add trust
Your voiceprint or passphrase stays. NeuroVerify adds the question it cannot answer: was this speech generated.
Give agents a signal they cannot hear
Evidence-backed scores replace hunches about whether a voice sounds off.
Protect high-risk requests
Screen password resets, payee changes and limit increases before they are approved.
Covers audio and video together
One API handles face images, video and audio, so voice and video channels share a control.
Deploy where call data must stay
Managed cloud, private cloud, container, on-premises and air-gapped options suit call recording and residency rules.
Questions
What teams ask before they integrate.
Does this replace our voice biometrics?
No. NeuroVerify does not enrol voiceprints or match speakers. It adds a check that the audio itself is genuine, and your existing voice biometric or verification process continues to decide who the speaker is.
How do we integrate it?
Call it on the audio or voice clip after capture and before the agent or system acts. Send the media you already capture to one REST endpoint, or use a native mobile SDK (Android/Kotlin, iOS/Swift, Flutter) or a backend SDK (Python, TypeScript/Node.js, Go, Java). An MCP server is available for AI agents.
Integration is two lines of code in the common case, and teams can go live in under 24 hours. Your end users see no new step.
Can it work in real time during a call?
NeuroVerify analyses audio you send to the API. Many teams send short segments from a live call as it progresses and a full clip afterwards. We will scope the pattern with you in evaluation. See real-time deepfake detection in call centers.
How does phone-quality audio affect results?
Compression, background noise and codecs affect every detector. That is why we recommend testing on your own call audio rather than relying on published figures. Share representative recordings in evaluation and we will report results on them.
How is our data handled?
Neural Defend analyses the media you send and returns a risk score with signal-level evidence. Consent, retention and residency stay under your policy. Neural Defend holds ISO/IEC 27001, ISO/IEC 27701, ISO/IEC 42001 and SOC 2 Type II certifications.
Read the product data handling page and the trust centre for specifics, and ask us for the details your security review needs.
Where can it run?
Options include a managed cloud API, private cloud or your own VPC, a secure container, on-premises, and air-gapped environments. The right choice usually follows your data-residency and security-review requirements. See deployment options.
Can we test it on our own media?
Yes, and it is the only test that counts. Published benchmarks do not reflect your devices, codecs or compression. Neural Defend ranks first of 36 systems on VendorBench-100 (MCC 0.876 against 0.646 for the next-best vendor), but your call recordings is the better yardstick.
Bring representative genuine and suspected-fake samples and your current decision states, and we will run them through the API with you.
Evaluate NeuroVerify
Test it on your own call recordings.
Send genuine and suspected-synthetic call audio through NeuroVerify. We will show the scores and signals and help set escalation thresholds for your contact centre.