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Pindrop is a voice security platform that detects deepfakes, synthetic speech, and fraud in real time across contact centers and virtual meetings. Using a combination of voice, device, behavioral, and liveness signals, the platform evaluates every call and meeting participant to determine whether the identity behind the voice is genuine.
The platform includes Pindrop Pulse for deepfake detection in both contact centers and virtual meetings, Pindrop Protect for near-real-time fraud risk assessments, and Pindrop Passport for multifactor authentication that reduces average handle time and operational costs. VeriCall Technology assesses call risk without disrupting the agent or customer experience.
Pindrop's solutions address the full call lifecycle, from IVR probing detection and containment to live agent fraud alerts and post-call voice analysis. The system surfaces risk indicators early, helping organizations route high-risk calls, prevent account takeover, and reduce fraud losses. A Fortune 500 insurer using Pindrop detected 97% of deepfakes in its contact center environment.
The platform integrates with existing infrastructure across Zoom, Cisco Webex, Google Cloud, Amazon Connect, Genesys, Five9, Verizon, NiCE, and BT Group. Pindrop supports banking, finance, insurance, healthcare, and retail organizations, delivering layered security without disrupting legitimate customer interactions.
- Detecting AI-generated synthetic voices in live contact center calls before agents engage
- Identifying deepfake participants in virtual business meetings in real time
- Authenticating callers using multifactor voice, device, and behavioral signal analysis
- Detecting IVR probing and account reconnaissance activity before calls reach agents
- Containing high-risk IVR calls to reduce downstream fraud exposure
- Reducing fraud losses in banking and credit union contact center environments
- Protecting insurance claims workflows from synthetic voice attacks and impersonation
- Securing healthcare contact centers from spoofing and unauthorized patient data access
- Blocking retail refund abuse, loyalty fraud, and account misuse via phone channels
- Integrating voice fraud detection and authentication into existing contact center platforms
- Surfacing risk indicators from post-call voice interaction analysis for fraud teams
- Replacing outdated one-time password authentication with passive multifactor verification
