FCC Robocall Mitigation Database in 2026: $10K Penalties, March 1 Recertification, MFA

The FCC's 2026 RMD overhaul mandates annual recertification, $10K base fines for inaccurate filings, and Google Authenticator MFA. Here is the compliance checklist for AI voice providers.

The threat

Failure to file or recertify in the FCC's Robocall Mitigation Database now triggers downstream blocking — every other US voice provider is required to drop your traffic. Lerman Senter and CommLawGroup 2026 both confirm the March 1, 2026 recertification deadline + a $10K base forfeiture per inaccurate field. For an AI voice startup, missing this kills the carrier relationship and the business overnight.

Defense

Treat RMD like: an internal owner, a calendar reminder, and a quarterly internal audit. Required filings: (1) STIR/SHAKEN attestation level (A/B/C or non-IP), (2) robocall mitigation plan narrative, (3) accurate corporate records, (4) primary + secondary contacts, (5) MFA enrolled (Google Authenticator or Okta Verify). Recertify every February 1 - March 1 window. Update within 10 days of any material change (or eat $1K/violation).

flowchart TD
 A[Voice provider · operating in US] --> B[Register CORES + RMD]
 B --> C[Enable MFA · Google Auth or Okta]
 C --> D[File STIR/SHAKEN attestation]
 D --> E[Document mitigation plan]
 E --> F[Calendar Feb 1 - Mar 1 recert]
 F --> G[Quarterly internal audit]
 G --> H{Material change?}
 H -- yes · 10 day clock --> I[Update filing]
 H -- no --> F

CallSphere implementation

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Build steps

1. Register at https://fccprod.servicenowservices.com/rmd
2. Enroll Google Authenticator or Okta Verify for MFA
3. Draft your mitigation plan (KYC, traffic monitoring, complaint handling)
4. File STIR/SHAKEN attestation level honestly
5. Add Feb 1 + Mar 1 to compliance calendar; quarterly internal audit

FAQ

Do AI voice startups need RMD? Yes if you originate or terminate US PSTN traffic.

Cost to file? Free filing — penalty for missing it is $10K base.

Annual or one-time? Annual recertification + 10-day update on material changes.

STIR/SHAKEN required for every call? Yes for IP-based; non-IP gets a non-IP attestation.

International providers? US-bound traffic still triggers RMD obligation; partner with a US carrier or file directly.

Sources

• FCC - Robocall Mitigation Database - https://www.fcc.gov/robocall-mitigation-database
• Federal Register - Improving the RMD - https://www.federalregister.gov/documents/2026/01/06/2026-00010/improving-the-effectiveness-of-the-robocall-mitigation-database-cores-registration-system
• Lerman Senter - March 1 2026 Recert Deadline - https://www.lermansenter.com/fcc-announces-march-1-2026-robocall-mitigation-recertification-deadline/
• Viirtue - 2026 Filing Requirements - https://viirtue.com/stir-shaken-robocall-mitigation-database-2026-filing-requirements-for-voip-providers-and-msps/
• CommLawGroup - Higher Base Fines 2026 - https://commlawgroup.com/2026/higher-base-fines-for-inaccurate-robocall-mitigation-database-filings/

FCC Robocall Mitigation Database in 2026: $10K Penalties, March 1 Recertification, MFA: production view

FCC Robocall Mitigation Database in 2026: $10K Penalties, March 1 Recertification, MFA usually starts as an architecture diagram, then collides with reality the first week of pilot. You discover that vector store choice (ChromaDB vs. Postgres pgvector vs. managed) is not really a vector store choice — it's a latency, freshness, and ops choice. Picking wrong forces a re-platform six months in, exactly when you have customers depending on it.

Serving stack tradeoffs

The big fork is managed (OpenAI Realtime, ElevenLabs Conversational AI) versus self-hosted on GPUs you operate. Managed wins on cold-start, model freshness, and zero-ops; self-hosted wins on unit economics past a certain conversation volume and on data residency for regulated verticals. CallSphere runs hybrid: Realtime for live calls, self-hosted Whisper + a hosted LLM for async, both routed through a Go gateway that enforces per-tenant rate limits.

Latency budgets are non-negotiable on voice. End-to-end target is sub-800ms ASR-to-first-token and sub-1.4s first-audio-out; anything beyond that and turn-taking feels stilted. GPU residency in the same region as your TURN servers matters more than choosing a slightly bigger model.

Observability is the unglamorous backbone — every conversation produces logs, traces, sentiment scoring, and cost attribution piped to a per-tenant dashboard. HIPAA aligned isolation keeps healthcare traffic separated from salon traffic at the storage layer, not just the API.

FAQ

Is this realistic for a small business, or is it enterprise-only? The healthcare stack is a concrete example: FastAPI + OpenAI Realtime API + NestJS + Prisma + Postgres healthcare_voice schema + Twilio voice + AWS SES + JWT auth, all HIPAA aligned. For a topic like "FCC Robocall Mitigation Database in 2026: $10K Penalties, March 1 Recertification, MFA", that means you're not starting from scratch — you're configuring an agent template that's already been hardened across thousands of conversations.

Which integrations have to be in place before launch? Day one is integration mapping (scheduler, CRM, messaging) and prompt tuning against your top 20 real call transcripts. Day two through five is shadow-mode running, where the agent transcribes and recommends but a human still answers, so you can compare side-by-side. Go-live is the moment your eval pass-rate clears your internal bar.

How do we measure whether it's actually working? The honest answer: it scales until your tool catalog gets stale. The agent is only as good as the integrations it can actually call, so the operational discipline is keeping schemas, webhooks, and fallback paths green. The platform handles the rest — observability, retries, multi-region routing — without your team owning the GPU layer.

Talk to us

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