AI voice synthesis has crossed the line from novelty to threat. With a short sample — often scraped from social media or a previous call — a fraudster can generate speech that sounds convincingly like a real member.
Why call centers are exposed
The phone channel was built on trust: if the voice sounds right and the caller knows a few details, agents are trained to help. Synthetic voice attacks exploit exactly that instinct, pairing a cloned voice with breached personal data to pass traditional checks.
What actually stops it
Defending against synthetic voice takes more than “does this sound like them.” It takes layered signals:
- Liveness and spoof detection that flags synthetic or replayed audio.
- Device and carrier intelligence — is the call coming from where it should?
- Behavioral and risk scoring across the call, not just at the start.
- A real-time research view so analysts can investigate risky calls as they happen.
How Confirm helps — powered by Pindrop Pulse
Confirm adds real-time liveness detection from Pindrop Pulse to every call. Pulse scores each caller from 0–100 and labels why a voice looks risky — synthetic, replayed, ambient media, or electronically modulated — with 99% deepfake detection accuracy and a false-positive rate under 0.3%. Non-live calls are flagged before they reach authentication, an agent, or IVR self-service, and risky calls surface in the Research Center for your team to investigate. Pindrop backs it with an industry-first $1M deepfake warranty.
See how liveness scoring works on a live call — explore deepfake detection or request a demo.
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