Test Your Team's Defenses Against Deepfake Video Calls

Highly realistic — and that's the point. Our platform performs real-time face and voice simulation simultaneously. In controlled testing, only 9% of employees correctly identified the AI-generated call. This demonstrates why organizations need structured defense testing rather than relying on employees to "just notice" something is off.

One clear face photograph and 30 seconds of reference audio from the authorized simulation subject. This mirrors what a real attacker could obtain from public sources — demonstrating why this defense testing matters.

All major platforms: Zoom, Microsoft Teams, Google Meet, Slack, WebEx, GoTo Meeting, and more. The platform operates entirely browser-based — no plugins or integrations need to be installed on the participant's side.

Yes. Multi-participant simulations are particularly valuable for testing employee responses in scenarios where several apparent executives are on a call together — replicating the kind of social pressure that makes real deepfake fraud so effective.

Every simulation is recorded with a full audit trail. You receive video recordings, transcripts, and outcome documentation for post-assessment analysis, compliance reporting, and security awareness training follow-up.

Standard webcam quality and normal indoor lighting are sufficient. The platform handles the AI processing to produce natural-looking results across varying lighting conditions and camera qualities.

Subtle artifacts can exist — slight blurring around face edges, occasional glitches during rapid movement. However, in a normal business conversation these are rarely noticed, which is exactly why structured detection training is essential. Our post-simulation training modules teach employees what to look for and how to verify caller identity through established procedures.