New Gartner® report — Reality Defender is named a Market Shaper in deepfake detection, as of June 2026.

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VIDEO

Read the face and the voice together

Detect face swaps, AI video, and cloned voices in live meetings and uploads before a payment or hire moves.

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A face on screen can be generated live

A familiar face on a call can be generated in real time. The voice behind it can be generated too.

  • $25M

     lost by engineering firm Arup when an employee joined a video call with deepfaked versions of the CFO and colleagues and made 15 transfers (CNN, May 16, 2024).

  • 50%

     drop in AUC for leading open-source video detectors on in-the-wild deepfakes versus prior benchmarks (Deepfake-Eval-2024, arXiv 2025).

  • 55.5%

     average human accuracy at spotting deepfakes, barely better than chance (Diel et al., 2024 meta-analysis of 56 studies).

Detect every kind of video deepfake

Face swaps

A real person's face placed on someone else.

Fully AI-generated video

People and scenes that never existed.

AI-altered faces

Real footage with generated expressions or features.

Cloned voices on the audio track

The voice checked alongside the face, when speech is present.

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WHERE IT RUNS

Screen video in meetings and uploads

Alert the host during live meetings. Screen uploaded video inside your apps, or review recordings in the web app.

Test video detection on your highest-risk meetings

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Stop a fake before anyone acts on it

Act in time

Get a result before video advances a payment, access request, or interview.

See both channels

Weigh voice and video together, so one convincing channel can't carry a fake. Built to detect, never to generate.

Keep the host in control

Pause, verify another way, or continue.

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INCIDENT RESPONSE

Prepare for a manipulated meeting

Plan how hosts verify, escalate, and document a suspected deepfake during or after a sensitive meeting.

Frequently Asked Questions

Video detection

Analyze the frames and the audio track for the patterns generation tools leave behind. Reality Defender does it live in meetings or on uploaded files.

Yes. The host gets a result during the meeting, once there's enough video or audio to analyze.

Blur, smoothing, and gaze correction change the video stream. Include the effects your teams use when you test.

Yes. When the video carries speech, detection reads the audio track alongside the frames.

No. It tells you whether the video is AI-generated or manipulated. Identity stays with your other systems.