The voice characteristics of every individual depend on the anatomy of their throat. Voice biometrics utilizes these speaker-specific voice features to authenticate users. If you are wondering how passive voice biometrics works, read on.

Passive Voice Biometrics: The Workings

In passive voice biometrics, the user is authenticated seamlessly in the background without their knowledge. The process of passive authentication starts with capturing the user’s voice and extracting speaker-specific voiceprints. To obtain reference voiceprints, the minimum required user speech is less than ten seconds. Subsequent authentications use the reference voiceprint to verify the authenticity of the claimed user. This is flexible to be carried out in both the IVR phase and the agent phase of the call.[caption id="attachment_34192" align="alignnone" width="1024"]

How passive voice authentication functions with IVR and human agents[/caption]The unique feature of passive voice authentication is that no PINs or passwords are required to authenticate users. This is why it is harder to breach than other authentication methods.

Passive Voice Biometrics: One of The Safest Authentication Methods

Why is passive voice biometrics one of the safest authentication methods?[caption id="attachment_34193" align="alignnone" width="1024"]

How an agent handles calls when the user is authenticated vs when the user is not authenticated[/caption]Passive voice authentication tools like Gnani.ai’s Armour365 is advanced enough to detect and stop bruteforce attacks, replay attacks, synthetic attacks, mimicry, liveness and bots. Gnani.ai’s Armour365 is language agnostic so it authenticates users using their speaker-specific voice features instead of traditional authentication methods like passwords or codes.

Advantages of Passive Voice Authentication

• Users can be authenticated using free speech so the hassle of remembering passwords and PINs can be avoided completely.
• Passive voice authentication has made it very convenient to authenticate remote users securely.
• Since it is language agnostic, it can be used for a diverse demographic without any customizations.
• Users can be authenticated in just a second. So, this makes the whole process smoother and efficient.
• Users are protected against bruteforce, replay, and synthetic attacks.

Click here to check out Gnani.ai’s voice authentication tool.

Frequently Asked Questions

What is passive voice biometrics?

It authenticates a speaker from voice features shaped by their individual throat anatomy, without asking for credentials. The system captures a voiceprint during normal conversation and compares it against a stored reference to confirm who is actually calling.

How much speech does voice authentication need?

The minimum required user speech is less than ten seconds, and authentication itself completes in about a second. Verification works during both the IVR stage and while the caller is already speaking to a human agent, without interrupting the conversation.

Do callers need a PIN or password?

No. No PINs or passwords are required, since authentication runs on how the person speaks rather than on what they remember. This removes password recall problems entirely and lets users be verified securely at a distance, without any extra step.

What attacks can Armour365 detect?

Gnani.ai's Armour365 detects and prevents brute force, replay, synthetic and mimicry attacks, and includes liveness detection and bot prevention. Because authentication happens passively during natural conversation, the checks run without asking the caller for passwords or one time passcodes.

Does voice biometrics work across languages?

Yes. The approach is language agnostic, because it authenticates on speaker features rather than on what is said. It also works across diverse demographics without needing separate customisation for each group of users, so one model covers a broad population.