Contact Center Fraud Detection I Resemble AI

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SYNTHETIC VOICE

AI-generated audio flagged before account details are shared

Detection in under 300ms. No transcription or recording. Validated against 250+ generative models across 54 languages.

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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.

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AUTHORIZED AI

Legitimate AI callers verified. Spoofed ones flagged.

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

YOUR MOST EXPOSED CHANNEL

The contact center is where fraudsters call every single day.

Legacy KBA was never built for synthetic audio. Voice cloning fraud and AI voice spoofing have turned every inbound call into an attack surface, and without real-time voice fraud detection your agents have no line of defense at all.

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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.

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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.

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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.

ONE PLATFORM. EVERY INBOUND THREAT.

Detection on every layer of contact center fraud in real time.

Resemble is the first signal in your fraud flow. Deepfake detection, fraud pattern recognition, and authorized AI verification running on every inbound call, feeding your existing risk engine with no rip-and-replace.

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Synthetic voice

ATTACK TYPE

Voice clone, TTS, and real-time modulation

AI-generated audio delivered live over inbound calls —indistinguishable to 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 <300ms

Alert before the agent reaches a sensitive request. Validated against 250+ generative models across 54 languages.

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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.

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Authorized AI

ATTACK TYPE

Spoofed AI agent — synthetic caller impersonating a trusted automated system

As AI-to-human calls scale, unauthorized synthetic callers are indistinguishable from legitimate ones without an AI agent authentication 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.

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BPO + platform integration

ATTACK TYPE

Multi-tenant fraud across healthcare, FSI, insurance

Business Process Outsourcers (BPOs) need deepfake detection as a platform capability for their end clients, not just internal tooling.

DETECTION METHOD

Modular deployment in your orchestration layer

Embed Resemble Detect into your platform. Modular licensing: buy what you need.

OUTPUT

Detection as a client-facing capability

On-prem container deployment. Clients' audio never leaves your environment.

RANKED #1 ACROSS 18 SYSTEMS

Misses 1 in 250. The next best system misses 9x more.

Podonos scores every vendor on the same 4,524 clips against private gold-standard labels.

RESEMBLE AI 

COMPETITOR

Audio deepfake detection — Accuracy

Pooled accuracy across all audio files. Higher is better.

Resemble DETECT-World

99.5%

Whispeak

97.7%

Pindrop

95.05%

Hive

83.53%

Reality Defender

71.27%

Accuracy % (higher = better)

100%

Audio DFD Benchmark · Podonos · August 2026 · Source

Audio deepfake detection — False Negative Rate (FNR)

Misidentification of AI files as authentic. Lower is better.

Resemble DETECT-World

0.4%

Whispeak

1.7%

Pindrop

3.7%

Hive

30.5%

Reality Defender

3.8%

False negative rate (lower = better)

Test sets include mp3, wav, flac, ogg, m4a, webm across 4,524 files. Source

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.

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Cloud, on-premise, or air-gapped deployment

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<300ms detection on every inbound call

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54 languages validated for audio detection

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250+ generative AI models covered

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99.5% accuracy across modalities

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Telephony formats: G.711, G.723.1, PCMu/PCMa, MP3, WAV

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Genesys Cloud, Five9, 8x8, Teams, Zoom, VAPI

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SIPREC, SIP trunk, direct API

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Zero Retention Mode — audio permanently discarded after analysis

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

Multimodal deepfake detection with explainable outputs.

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Resemble Signal

Fraud pattern classification without transcription. Runs continuously on the call.

Resemble Watermarker

Embed imperceptible marks to flag unauthorized AI callers.

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Frequently asked questions

How does Resemble detect AI-generated voice fraud in real time?

Detect analyzes how a voice was produced, not what's being said. It returns a deepfake confidence score in under 300ms with no transcription or recording, making it one-sided consent compliant. Language-agnostic across 54 validated languages.

Does deepfake detection replace voice biometrics?

Voice biometrics identifies who is speaking. Deepfake detection determines whether the voice is real. Resemble layers underneath your biometric solution to catch cloned voices that pass enrollment. Deepfake liveness detection goes beyond standard voice liveness checks by identifying AI-generated voices even when streamed in real time.

How does Resemble compare to Pindrop for contact center fraud?

Pindrop combines voice analysis with device, carrier, and behavioral signals for fraud risk scoring. Resemble answers the question that comes first: is this voice real? On the Podonos benchmark (August 2026), Resemble scored 99.47% accuracy (0.4% FNR) vs Pindrop at 95.05% (3.7% FNR). The two are complementary.

How does Resemble compare to Reality Defender?

On the Podonos benchmark (August 2026), Reality Defender scored 71.27% accuracy with a 53.7% false-positive rate, flagging more than half of real audio as fake. It was the only system slower than real time. Resemble scored 99.47% with both error rates under 1%.

How accurate is detection on compressed telephony audio?

A: 99.47% on the Podonos benchmark, holding 99.2%–99.7% across all six formats. Podonos has introduced telephony-grade tracks using G.711, AMR-NB, G.729, and EVS-WB codecs to measure detection under real contact center conditions.

Can I deploy on-premise? Does it work with Genesys, Five9, or Microsoft Teams?

Yes to both. Every model deploys as a container in GCP, AWS, Azure, or on-premise infrastructure, so audio never leaves your environment. Integrates with Genesys Cloud, Five9, 8x8, Microsoft Teams, and Zoom via SIPREC, SIP trunk, or direct API. Voice AI platforms like VAPI also supported.

What else can Resemble detect beyond voice?

‍Resemble functions as a full AI authenticity layer across audio, video, images, and documents. Beyond voice fraud detection in the contact center, it covers synthetic identity detection for KYC, deepfake video for executive impersonation, and AI agent authentication via Resemble Watermarker.

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

The contact center is where fraudsters call every single day.

Detection on every layer of contact center fraud in real time.

Runs on every call. No workflow changes.

From inbound call to agent alert.