Telco

Telecom voice fraud detection at the network layer.

Every call on your network is a potential target. Detection integrates directly into carrier call infrastructure via SIP or SIPREC, analyzing every call in real time. Nothing is recorded, nothing is stored. When a synthetic voice is detected, your team is alerted before the conversation ends.

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Trusted by
Data Security

Enterprise-grade. Out of the box.

Built for environments where security is non-negotiable — from air-gapped infrastructure to international data regulations.
SOC 2 Type II
Independently audited security controls covering availability, confidentiality, and data integrity.
In-progress
GDPR
Fully compliant with EU data protection regulations. No personal data processed without lawful basis.
Compliant
HIPAA
Supports healthcare and public health agency deployments with full HIPAA-aligned data handling.
Compliant
ISO 27001
Internationally recognised standard for information security management systems.
In-progress
Air-gapped deployment
Fully containerized on-premises install. No external connections. No data leaves your environment ever.
Available
Deploy in 24 hours
Guided installation wizard gets you from contract to live detection in under a day — not months.
On-prem & cloud
Zero retention mode
Submitted media is permanently deleted after detection completes — no retention, no re-analysis. Meets the strictest data sovereignty requirements.
Available
API-first architecture
Single REST API covering all modalities. Integrates with existing SIEM, SOAR, and identity platforms.
Production-ready
TELCO ATTACK VECTORS

Six AI voice fraud vectors active on carrier networks today.

These attacks run without guardrails, across thousands of calls simultaneously. Resemble AI covers all six at the network layer, without storing audio or requiring dual consent.
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ATTACK TYPE
METHOD
MODALITY
VICTIM
1
AI vishing/voice cloning
Synthetic voice impersonates a known contact or support agent on a live call.
Consumer/ Enterprise employee/ Call center agent
2
Agentic robocall fraud
Bots clone voices and run fraud scripts across thousands of calls with no human involvement.
Consumer/ Financial instution
3
SIM swap impersonation
AI-generated voice calls carrier support posing as the account holder to authorize a SIM swap.
Consumer/ Carrier fraud teams
4
Cross-platform spoofing
Attack builds trust on WhatsApp or Telegram, then moves to a carrier call to execute.
Consumer/Enterprise executive
5
Phishing and social engineering
Caller extracts account PINs or PII under the guise of a support interaction.
Consumer/ Enterprise employee
6
Replay attack
Pre-recorded synthetic audio played back into a live call to defeat liveness checks.
Call center
Modalites:   Audio =     Video =      Image =
GENERATIVE AI PROTECTION IN ACTION

Real-time detection across calls.

Analysis runs in memory — deleted the moment it completes
Private alerts sent when synthetic voices are detected
Your call, your rules — terminate, flag, or log silently
No prior voice sample required, works on every caller
Covers inbound calls, network traffic, and OTT platforms via SDK
Customer vishing protection
Inbound calls on carrier networks and OTT platforms
Real-time detection via SIP or SIPREC integration
Called party alerted before the conversation ends
Business customer security
C-suite and board level meetings
Detection across Zomm, Teams, Meet, and Webex
Security team alerted with confidence score before the call ends
Call center fraud
Contact center calls via Genesys, Avaya, and AWS Connect
Synthetic voice and phishing intent flagged simultaneously
Agent alerted before any account action is taken
OTT call protection
WhatsApp, FaceTime, and Telegram via SDK
Detection runs without enrollment or dual consent
Carrier can terminate, flag, or log silently
Regulated industry deployment
On-prem processing keeps audio within national borders
In production with Deutsche Telekom
GDPR validated within European carriers
Agentic call infrastructure
Legitimate AI agents watermarked at generation
Unmarked synthetic voices flagged automatically
Fraudulent agents blocked; authorized ones pass through

These systems can now do much more, such as distinguish between real and artificially generated voices. This is ensured by Resemble AI. But it's not just people who need to be protected from the consequences of deepfakes.

Executive team, Deutschle Telekom
Winner
T Challenge competition of T-Mobile US and
Deutsche Telekom 2025, Resemble AI
RESPONSIBLE AI DEVELOPMENT

The only generative AI company whose protection tools came first.

As pioneers of synthetic media, we built the detection tools required to secure it. Our technical depth makes us a trusted policy advisor globally — from testifying before the U.S. Senate to signing Canada's Voluntary Code of Conduct on Responsible AI.

Every product starts from the same question: what happens when this gets misused?

RESEMBLE AI ETHICS COMMITMENT

Zohaib Ahmed, CEO — U.S. Senate testimony on deepfakes & election integrity

INTEGRATIONS

Works with your existing stack

All integrations
Frequently asked questions
How do telecom companies detect AI-generated voice fraud?
Detection integrates at the SIP or SIPREC layer, analyzing active speech in real time. Four seconds of audio is sufficient, with a result returned in under 300 milliseconds. Analysis runs in memory and is discarded after processing. When synthetic voice is detected, the carrier can alert the called party, flag the call via API, or terminate it depending on configuration.
What is AI vishing and how do carriers prevent it?
AI vishing is a voice phishing attack where a synthetic or cloned voice impersonates a trusted contact, support agent, or executive on a live call. Carriers prevent it by integrating detection at the network layer via SIP or SIPREC, where every call is analyzed before the conversation completes. No app installation, enrollment, or action from the called party is required.
How does deepfake detection work at the telecom network layer?
The detection model analyzes the audio signal for artifacts that generative AI models leave in synthetic speech. Detection runs in memory alongside the live call stream, returning a result in under 300 milliseconds. The model covers over 1,300 synthesis models and updates within 48 hours when new architectures emerge.
What regulations cover AI voice fraud in telecoms?
In the US, the FCC requires carriers to identify and block synthetic voice fraud. STIR/SHAKEN addresses caller ID authentication but not synthetic voice content — deepfake detection closes that gap. Resemble AI provides GDPR-validated detection with no audio storage, supporting compliance across all three frameworks.
Does detection require recording the call?
No. Analysis runs entirely in memory. Audio is processed and discarded with nothing stored and no transcript generated. One-sided consent is sufficient, and GDPR compliance is maintained without dual authorization.
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