VOICE DEEPFAKE DETECTION

Stop Voice Deepfakes Before the Damage Is Done

Velma detects synthetic voice fraud in under 5 seconds — protecting your calls, customers, and revenue.

TIME 100 Company

ISO 27001 Certified

#1 Deepfake Detection Accuracy

100M+ Users Protected

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Benchmark Results

#1 AI Model for Deepfake Detection

Velma-2 achieves an F1 score of 0.96 — outperforming every published deepfake detection model including Resemble AI (0.95).

0.96

F1 Score — Velma-2

#1 ranked deepfake detection model globally

<5s

Detection Latency

Real-time analysis on live and recorded calls

100M+

Users Protected

Across gaming, finance, healthcare and enterprise

99%

Uptime SLA

Enterprise-grade reliability with SOC 2 & ISO 27001

Synthetic Voice Deepfake Detection Accuracy Benchmark Chart

Benchmark Results

#1 AI Model for Deepfake Detection

Velma-2 achieves an F1 score of 0.96 — outperforming every published deepfake detection model including Resemble AI (0.95).

The Threat

Voice Fraud Is the Fastest-Growing Attack Vector

AI voice cloning tools are cheap, fast, and widely available. Attackers need just 3 seconds of audio to clone a voice convincingly.

40x

Voice deepfake attacks up year-over-year

$40 Billion

Projected deepfake fraud losses by 2027 — Deloitte

3 Seconds

All it takes to clone a voice with 85% accuracy — VALL-E 2, 2024

$600K+

Average financial loss per deepfake attack

Multi-Layer Detection

Four Detection Layers Work Together

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Audio Forensics

Identify subtle waveform and audio quality artifacts from synthetic voice generation.

Emotion Modeling

Detect shallow or muted emotional expression typical of synthetic voice deepfakes.

Linguistic Profiling

Uncover signs of scripted or AI-generated dialogue — unusual diction, pacing, or verbosity.

Conversational Dynamics

Analyze flow patterns, turn-taking, and timing to flag robotic or unnatural exchanges.

Enterprise Ready

Built for Security-First Organizations

Velma meets the strictest compliance and security requirements — so your legal and security teams can say yes.

✓ ISO 27001 Certified

✓ SOC 2 Type II Compliant

✓ GDPR & CCPA Ready

✓ Private cloud & on-prem deployment available

✓ No audio stored by default — ephemeral processing

✓ 99% uptime SLA with dedicated support

Industries Served

Protecting Every Sector That Relies on Voice

Banking & Finance

AI vishing attacks impersonating bank reps, wire transfer fraud, and IVR authentication bypass.

Healthcare

Patient impersonation, prescription authorization fraud, and insurance verification attacks.

Retail & E-Commerce

Refund and return fraud, gift card scams, and account takeover via voice channels.

Enterprise Contact Centers

AI-assisted social engineering, executive impersonation (vishing), and high-volume inbound fraud.

Insurance

Synthetic voice claims fraud, fraudulent policy changes, and impersonation of policyholders.

Higher Education

Financial aid fraud, student record impersonation, and registrar call fraud.

Common Questions

Frequently Asked Questions

How quickly can Velma be deployed?

Most customers are live within 2–4 weeks. Velma integrates via REST API with any telephony platform — no custom hardware or model training required.

Does Velma store or retain audio data?

No. By default, Velma processes audio ephemerally — it is analyzed and discarded. Private cloud and on-prem options are available for regulated industries.

What’s Velma’s false positive rate?

Velma-2 achieves an F1 score of 0.96 on independent benchmarks, meaning extremely low false positives. Thresholds are configurable to match your risk tolerance.

Does Velma work on recorded calls as well as live calls?

Yes. Velma supports both real-time streaming and batch analysis of recorded audio files, giving you full coverage across your call library.

What is AI voice deepfake fraud — and how is it different from vishing?

Vishing is social engineering over the phone — tricking someone into revealing information or authorizing a transfer. AI voice deepfakes add a synthetic voice layer on top: attackers clone a trusted person's voice to make the scam convincing. Velma detects both the synthetic voice signature and the behavioral fraud patterns that accompany it.

How does Velma compare to Pindrop or Resemble AI?

Velma-2 scores 0.96 F1 on the Hugging Face Speech Deepfake Arena benchmark — #1 across all published models. Resemble AI scores 0.95. Pindrop has not published comparable results on independent benchmarks. All scores are independently verified across 12 industry-standard datasets.

Can Velma distinguish legitimate synthetic voice users (e.g., assistive technology)?

Yes. Velma's conversational analysis layer looks beyond voice type to intent, urgency cues, scripted phrasing, and turn-taking anomalies — distinguishing fraudulent callers from users who rely on assistive voice technology. This prevents false positives that would harm accessibility-dependent customers.

Does Velma detect video deepfakes?

Velma analyzes audio only — by design. The overwhelming majority of voice fraud happens over phone and contact center channels, not video. Purpose-built audio analysis delivers higher accuracy and lower cost at scale than generalist multimodal tools that try to do everything.

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