AI SecureVoice
Voice biometrics, deepfake detection, and fraud prevention.
AiCX's AI SecureVoice practice protects voice channels from fraud, deepfake attacks, and synthetic-voice spoofing. We deploy voice biometrics, deepfake detection, anti-spoofing, and behavioral authentication — the security layer that voice channels increasingly require as generative AI puts realistic voice cloning in the hands of attackers.
Voice fraud has changed. Five years ago, attackers used social engineering against agents. Today, attackers can clone a target's voice from 10 seconds of audio and deploy synthetic voice against your IVR, agents, and biometric systems. The defenses have evolved too — and we deploy them.
We integrate with the major voice biometric and anti-fraud platforms (Nuance/Microsoft, Pindrop, ID R&D, NICE Real-Time Authentication, Daon) and operate the program — enrollment, ongoing tuning, fraud investigation support, and the analytics that prove the program works.
The difference is in how we run the program — not the deck.
Plenty of vendors can quote you a seat. Few can deliver an outcome. Here's what changes when AiCX runs your ai securevoice program.
Voice biometrics
Passive voice authentication that eliminates 30+ seconds of caller verification per call.
Deepfake detection
Real-time detection of synthetic voice and voice cloning attacks.
Anti-spoofing
Replay, recording, and spoofing attack detection across voice channels.
Behavioral authentication
Voice + behavior + device signal combined for risk-based authentication.
Fraud investigation support
Forensic analysis, voice matching, and fraud ring identification.
Multi-platform integration
Nuance/Microsoft, Pindrop, ID R&D, NICE, Daon — we operate across them.
Everything you need on day one — built in.
A ai securevoice program from AiCX ships with the operational scaffolding most clients spend quarters trying to assemble in-house.
- Passive voice biometric authentication
- Active voice biometric enrollment and authentication
- Synthetic voice / deepfake detection
- Replay and spoofing attack detection
- Voice + behavior + device risk scoring
- Fraud ring detection through voiceprint matching
- Real-time fraud alerting
- IVR and agent-channel deployment
- Cross-channel identity unification
- Investigation and forensic support
- Compliance reporting (KYC, AML, fraud)
- Continuous model tuning and false-positive reduction
How teams put ai securevoice to work.
Voice biometrics + deepfake defense
Deployed passive voice biometrics + synthetic voice detection across 24M annual calls; cut voice fraud losses 67% in year one.
FNOL fraud detection
Voice biometric + risk scoring on FNOL detected and prevented $9M in fraudulent claim attempts.
High-value account protection
Voice + behavior + device authentication for HNW accounts; eliminated knowledge-based authentication friction while reducing fraud risk.
Common questions about AI SecureVoice.
Don't see your question? Talk to our solutioning team — we'll walk you through pricing, footprint, and ramp options for your specific program.
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Conversational and task-automation bots with ongoing tuning.
Ready to deploy AI SecureVoice?
Schedule a 30-minute working session with our solutioning team — bring your KPIs, leave with a delivery plan.