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Customer auth for AI voice agents

Summary

ringd provides simple authentication for AI voice agents with a single decorator, supporting email OTP, SMS OTP, and voiceprinting. It handles common data matching issues and offers a full audit log.

SourceHacker News AIAuthor: georgekats
Customer auth for AI voice agents
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Auth glue is not your product.

Verification is the boring blocker between your agent and launch. Add one decorator and it's done this afternoon.

from ringd import protected, Level

@protected(level=Level.MEDIUM)

def book_appointment(call, date, time):

only runs once the customer is verified

return calendar.create(call.customer_id, date, time)

Fine-grained setup for every verification flow.

Give your voice AI the identity checks it needs while keeping the rest of your codebase simple.

Protect sensitive tools

Add verification before your voice AI can take actions that change data, trigger workflows or access private information.

Right check for the moment

Let simple requests pass naturally, then step up with voiceprinting, SMS or email when higher confidence is needed.

The record matching you never want to write

Shared numbers, spoofed caller ID, missing numbers, duplicate records and mismatched emails are handled before the agent acts.

Prove every verification

Full history of every attempt and decision, ready to export for security review.

Connect the stack you already trust.

Supabase

Neon

Prisma

Attio

Airtable

Frequently asked questions.

What is ringd?

ringd is authentication for AI voice agents. It verifies who is on the call before your agent takes sensitive actions like booking, payments or account changes. You add it with one decorator on the tools you want to protect.

How does it work?

Wrap a tool with the protected decorator and set a level. When an unverified call reaches that tool, ringd runs the right check first, confirms identity, then lets the tool run. Low-risk requests pass through with no prompt.

Which platforms does it support?

ringd is platform agnostic. Verification binds to the call session, not the platform, so it keeps working when you switch.

What verification methods can I use?

Email OTP, SMS OTP and voiceprinting. You pick per level, so simple requests stay effortless and higher-risk actions step up to a stronger check.

Do you store voiceprints or biometric data?

By default no. Email and SMS are deterministic and store no biometric data. Voiceprinting is optional and opt-in, handled with consent only when enabled.

Is voice verification safe against deepfakes?

Deterministic checks like SMS and email cannot be spoofed by a voice clone, so they are the safe default for anything sensitive. Voiceprinting is offered as a step-up signal that reduces friction, not as the only thing standing between a request and your data.

How is this different from Twilio Verify?

Twilio Verify sends a code and stops there. ringd does authentification and registration on the call: verify who is back, enroll who is new. One decorator, full audit log.

Key points and analysis

Article intelligence

EngineersIntermediate

Key points

  • Add one decorator to secure sensitive actions
  • Supports email OTP, SMS OTP, and optional voiceprinting
  • Automatically handles shared numbers, spoofed caller ID, missing numbers, etc.
  • Platform agnostic with full audit log

Highlights and analysis are generated automatically and may contain errors. Check the original source.