Deepfake Detection Software
Modulate's AI Model, 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
Benchmark Results
Benchmark Results
Modulate's voice AI model Velma outperforms every published deepfake detection model including Resemble AI.
The Threat
AI voice cloning tools are cheap, fast, and widely available. Attackers need just 3 seconds of audio to
generate a convincing synthetic voice.
Annual Growth Rate
Deepfakes surged from 500K in 2023 to 8M in 2025
By 2027
Projected deepfake fraud losses
To Clone a Voice
85% accuracy with just 3 seconds of audio
Average Loss
Per deepfake attack incident.
How Modulate's voice AI Model detects deepfakes
Identify subtle waveform and audio quality artifacts from synthetic voice generation.
Detect shallow or muted emotional expression typical of synthetic voice deepfakes.
Uncover signs of scripted or AI-generated dialogue — unusual diction, pacing, or verbosity.
Analyze flow patterns, turn-taking, and timing to flag robotic or unnatural exchanges.
Industries Served
AI vishing attacks impersonating bank reps, wire transfer fraud, and IVR authentication bypass.
Patient impersonation, prescription authorization fraud, and insurance verification attacks.
Refund and return fraud, gift card scams, and account takeover via voice channels.
Synthetic voice claims fraud, fraudulent policy changes, and impersonation of policyholders.
Financial aid fraud, student record impersonation, and registrar call fraud.
AI-assisted social engineering, executive impersonation (vishing), and high-volume inbound fraud.
Common Modulate & DeepFake Detection Capabilities Questions
No. By default, Velma processes audio ephemerally — it is analyzed and discarded. Private cloud and on-prem options are available for regulated industries.
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.
Yes. Velma supports both real-time streaming and batch analysis of recorded audio files, giving you full coverage across your call library.
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.
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.
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.
Book a live demo and see Velma detect a synthetic voice attack in real time. No commitment required.
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