LIVE AGENT ASSIST

A fraud-detecting sidekick for every agent, every call.

Resemble Agent Assist analyzes inbound call audio in real time — detecting synthetic voices, flagging fraud patterns, and verifying authorized AI callers before your agent responds. No transcription. No recording.

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SYNTHETIC VOICE

AI-generated audio flagged before account details are shared

Detection in under 200ms. No transcription or recording. Validated against 160+ generative models across 51 languages.

FRAUD PATTERNS

Social engineering patterns surfaced to the agent in real time

Authority spoofing, urgency scripting, and PII extraction patterns detected without call transcription. One-sided consent compliant.

AUTHORIZED AI

Legitimate AI callers verified. Spoofed ones flagged.

Embedded Resemble watermark confirms authorization at call creation. Absent or failed watermark = instant agent alert.

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YOUR MOST EXPOSED CHANNEL

The contact center is where fraudsters call. Every single day.

Legacy KBA verification was never built for synthetic audio. An agent trained to be helpful is the last line of defense — and without real-time detection, they have no line at all.
SCALE
$44.5 billion in projected contact center fraud losses. The channel your agents answer is your most exposed surface.
Vishing, synthetic voice scams, and AI impersonation calls are automated and cheap. Attackers need to succeed once. Your agents answer every call.
ACCELERATION
1,600% surge in deepfake vishing attacks in Q1 2025. Volume is the strategy — 1 in 3 US consumers were targeted in Q4 2024.
Automated campaigns deliver thousands of synthetic calls at zero marginal cost per attempt. Even a 1% success rate against a high-value target pays out.
STAKES
Average loss per deepfake incident: $600,000. A single successful call can exceed annual detection cost.
The only scalable defense is detection that runs on every inbound call — automatically, in real time, before your agent has committed to a response.
WHAT AGENT ASSIST DETECTS

Real-time voice fraud detection. Every inbound call.

Contact center deepfake detection, fraud pattern recognition, and authorized AI verification — running simultaneously on every call, without transcription or recording.

HIGH VALUE • TARGETED
Synthetic voice
Attack types
Voice clone
Replay attack
Synthetic TTS
Real-time voice modulation
AI-generated ID document
Modalities
Image
Audio
Products
Resemble Detect
What gets faked
Voice cloned from seconds of public audio and delivered live over the inbound call
AI-generated identity documents or photos submitted during the call for account verification
Real-time voice modulation masks the caller's voice in ways that defeat basic biometric checks
How Resemble AI detects it
Analyzes audio, and any submitted images or documents, in under 200ms — no transcription or recording
Returns a binary synthetic media detected flag on the agent dashboard before the conversation reaches a sensitive request
Validated against 160+ generative models across 51 languages
HIGH VOLUME • SCRIPTED
Fraud patterns
Attack types
Authority spoofing
Urgency scripting
PII extraction
Social engineering
Modalities
Audio
Products
Resemble Detect
What gets faked
Fraudsters use repeatable scripts with specific phrases designed to move agents toward compliance
Urgency cues and authority claims exploit agent training to be helpful — bypassing human judgment rather than technology
Built to defeat people, not systems — inbound call fraud prevention AI closes that gap
How Resemble AI detects it
Detects audio patterns statistically associated with fraud attempts — surfaces alert to agent dashboard in real time
No transcription, no recording, and one-sided consent compliant
Runs continuously for the duration of the call alongside synthetic voice detection
EMERGING • AUTOMATED
Authorized AI
Attack types
AI agent impersonation
Spoofed automated caller
Unverified synthetic caller
Modalities
Audio
Products
Resemble Watermarker
What gets faked
Fraudsters spoof AI agents making legitimate outbound calls on behalf of organizations
An unauthorized synthetic voice is indistinguishable from an authorized one without a verification layer
As AI-to-human calls increase, this attack surface grows with them
How Resemble AI detects it
Legitimate AI callers carry an embedded Resemble watermark confirming authorization at the point of call creation
Agent Assist verifies the watermark signal in-stream — fires an alert if watermark is absent or fails verification
Distinguishes a trusted authorized AI caller from a spoof — a binary, defensible result
WHAT DETECTION LOOKS LIKE

From inbound call to agent alert.

Three outputs across the detection stack — live dashboard flag, fraud pattern alert, and authorized AI verification check.
Resemble Detect
Live call alert
Resemble Detect
Fraud pattern output
Resemble Watermarker
Authorized AI verification
ONE PLATFORM. EVERY INBOUND THREAT.

Detect every layer of contact center fraud in real time.

Synthetic voice
ATTACK TYPE

Voice clone, TTS, and real-time modulation

AI-generated audio delivered live over inbound calls —indistinguishable to human agents without detection technology.

DETECTION METHOD

Audio analysis — TTS artifacts + voice-clone signatures

Analyzes spectral patterns for synthetic markers No transcription or storage required. One-sided consent compliant.

OUTPUT

Binary flag on agent dashboard in <200ms

Clear alert before the agent reaches a sensitive request. Validated against 160+ generative models across 51 languages.

Fraud patterns
ATTACK TYPE

Authority spoofing, urgency scripting, and PII extraction

Scripted social engineering designed to move agents toward compliance — bypassing judgment rather than technology.

DETECTION METHOD

Audio pattern analysis — statistically associated with fraud

Detects patterns in audio streams tied to social engineering attempts without keyword matching or transcription.

OUTPUT

Zero latency dual-layer protection

Fraud patterns and synthetic voice checks run simultaneously on every inbound call. Adds a secony layer of security with zero additional latency.

Authorized AI
ATTACK TYPE

Spoofed AI agent — synthetic caller impersonating a trusted automated system

As AI-to-human calls scale, unauthorized synthetic callers become indistinguishable from legitimate ones without a verification layer.

DETECTION METHOD

Resemble Watermarker — embedded signal at call creation

Legitimate AI callers carry a provenance watermark. Agent Assist verifies this signal in-stream on every inbound call.

OUTPUT

Binary result — authorized or spoofed

Watermark absent or failed verification triggers an alert. More defensible than probabilistic scoring for compliance and incident response.

BUILT FOR EVERY INBOUND CALL

Runs on every call. No workflow changes.

Real-time on every inbound call without transcription or recording. Integrates with CCaaS platforms and SIP-based telephony infrastructure. Zero Retention Mode ensures audio is permanently purged after analysis.
Cloud, on-premise, or air-gapped deployment
<200ms detection on every inbound call
51 languages validated for audio detection
160+ generative AI models covered
96%+ accuracy across modalities
Telephony formats: G.711, G.723.1, PCMu/PCMa, MP3, WAV
Zero Retention Mode — audio permanently discarded after analysis
Frequently asked questions
How does Agent Assist detect AI-generated voice fraud in real time?
Agent Assist analyzes the inbound call audio stream using Resemble Detect, returning a binary result in under 200ms. It does not transcribe or record the call — it analyzes audio patterns for characteristics associated with synthetic voice generation. When a match is detected, an alert surfaces on the agent dashboard immediately.
Does Agent Assist require call recording or transcription?
No. Agent Assist is compliance-oriented by design. It analyzes audio patterns in real time without transcribing or storing call content. Zero Retention Mode is available for organizations that require audio to be permanently discarded immediately after analysis completes.
What tools detect synthetic voice in inbound contact center calls?
Resemble Agent Assist runs on Resemble Detect, the detection engine validated against 160+ generative AI models across 51 languages. It integrates at the application or telephony layer and supports CCaaS platforms as well as SIP-based infrastructure including G.711, G.723.1, and PCMu/PCMa audio formats.
How do contact centers verify an AI agent is authorized to call?
Legitimate AI callers can carry an embedded Resemble watermark generated at the point of call creation by Resemble Watermarker confirming the caller is an authorized automated agent. Agent Assist verifies this signal in-stream. If the watermark is absent or fails verification, an alert fires on the agent dashboard.
Can Agent Assist detect fraud patterns as well as synthetic voice?
Yes. Beyond synthetic voice detection, Agent Assist identifies audio patterns statistically associated with social engineering attempts flagging them to the agent in real time without transcribing the call. Both detection layers run simultaneously on every inbound call with no additional latency for the second layer.
Is on-premise deployment available for regulated industries?
Yes. Resemble Agent Assist is available as cloud, on-premise, or air-gapped deployment. Zero Retention Mode ensures submitted audio is permanently purged after analysis — meeting financial services, healthcare, and government data residency requirements without compromise.
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