AI voice synthesis tools now produce near perfect speaker imitations in real time. Attackers are using cloned executive voices to authorise fraudulent wire transfers and bypass contact centre identity verification globally.
Digital voice recordings are being routinely challenged in legal proceedings worldwide. Forensic grade speaker verification with quantified likelihood ratios is now required to establish or rebut authenticity of audio evidence.
Sophisticated voice clones are bypassing contact centre identity verification at scale — attackers call as known customers to reset passwords, redirect accounts and initiate fraudulent transactions before agents can detect the fraud.
| Product | What It Does | Business Value Delivered |
|---|---|---|
VoiceMatch AICore Forensics |
Forensic speaker verification platform producing expert reports with quantified likelihood ratio scoring. Accepts audio in any telephony format and produces scientifically rigorous identity assessments for legal, investigative and compliance applications. | Provides court admissible voice authentication reports for legal proceedings; verifies speaker identity across wire intercepts, depositions and compliance recordings. |
VoiceExtract AIDiarization Engine |
Multi speaker diarization and source separation engine that isolates individual voices from complex multi party call recordings — maintaining accuracy under noise, speaker overlap, codec degradation and adverse acoustic conditions. | Separates speakers in surveillance recordings, conference call fraud evidence and multi party dispute recordings for investigation teams and prosecution support. |
VoiceProfile AIIntelligence Dossier |
Longitudinal voice identity dossier system aggregating speaker clips across multiple recordings over extended time periods — building a rich biometric voice profile for ongoing investigations, suspect tracking and intelligence analysis. | Enables voice based suspect identification across investigations; links unidentified callers to known speaker profiles across months of recorded evidence. |
VoiceEmo AIAffective Analytics |
Real time speaker psychological state and deception inference engine detecting stress, aggression, cognitive load and emotional state patterns in contact centre escalations, compliance disclosures and investigative interviews. | Flags high risk claimant calls and compliance anomalies in real time; provides investigators with objective deception indicators during voluntary interviews and recorded statements. |
CallScreener AIFraud Prevention |
Real time synthetic voice and robocall detection deployed at contact centre IVR ingestion — identifies AI generated caller audio before the voice reaches a human agent, blocking voice clone fraud at the earliest possible point. | Eliminates voice clone account takeover at the IVR entry point; provides carrier grade synthetic call identification for financial institutions and critical service providers. |
Every VoiceMatch report includes scientifically quantified likelihood ratios — the same standard applied by leading forensic phonetics experts in criminal proceedings across jurisdictions worldwide.
VoiceEmo and CallScreener operate in sub second real time for live fraud prevention; VoiceMatch and VoiceProfile deliver deep forensic batch analysis for post incident investigation.
Voice models are trained across languages, dialects and telephony codecs — maintaining high accuracy in noisy, heavily compressed and multilingual call environments common in global operations.
| FaceOff AI — Voice Forensics | Dimension | Legacy and Single Modality Platforms |
|---|---|---|
Forensic speaker verification plus real time voice clone fraud detection in one platformLikelihood ratios · diarization · real time IVR · OSINT profiling |
Scope | Either forensic tools or real time detection — rarely both in a single integrated platform |
Court admissible expert reports with quantified likelihood ratio scoringExpert grade output · accepted in legal proceedings · full audit chain |
Evidence Grade | Internal risk scores only — outputs cannot be used directly in court without additional expert testimony |
Real time voice fraud detection at IVR ingestion before human agents are reachedSub second inference · carrier grade throughput · live alert integration |
Prevention | Post incident forensic analysis only — voice fraud is detected after the damage is done |
Organisations fully committed to an incumbent vendor workflow may prefer extending existing contracts before adopting a new platform.
Organisations without banking, government, healthcare, legal or media threat profiles may not yet face the vectors this platform is designed to counter.
For EDR and SIEM requirements without AI content authentication or identity proofing, a dedicated endpoint security vendor may suffice.