Executive impersonation on Zoom is no longer hypothetical — attackers now spin up cloned voices and deepfaked video to join finance calls, sales negotiations, and interviews. Resemble AI's live meeting detection plugs into Zoom's video and audio streams to analyze each participant frame-by-frame in real time.
When a cloned voice or synthetic face is detected, hosts get an inline warning during the call — not a post-mortem after the damage is done. Models update continuously against the latest deepfake generators, so coverage keeps pace with attacker tooling.
Scan every speaker's voice in real time. Flag AI-cloned or synthetic audio before a caller finishes their first sentence.
Inspect participant video frame-by-frame for face-swap, puppeteering, and generative artifacts common to modern deepfake tools.
Hosts see a warning during the call, not hours later. Pause, verify, or eject suspicious participants before decisions get made.
Detection runs throughout the meeting — attackers can't swap in a clone mid-call after passing an initial check.
Combine audio and video signals for a single confidence score per participant. Reduces false positives compared to single-modality checks.
All analysis runs with enterprise-grade privacy controls. SOC 2 Type II in progress, suitable for finance, legal, and HR use cases.
