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Insight
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Detect Deepfakes in Live Video Meetings
RealMeeting detects AI-generated video and voice in real time inside Zoom and Microsoft Teams, helping enterprises prevent impersonation, fraud, and data breaches.
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How to Use RealMeeting
Add. Scan. Confirm Authenticity.
Accessible instantly through a secure web app. No setup, integrations, or technical resources required.
1/4
Step 1: Enable
Activate Reality Defender in any meeting where verification is needed.
Step 2: Detect
Analyze video and audio in real time for signs of AI manipulation.
Step 3: Act
Take immediate action based on detection results.
Step 4: Review
Access detailed post-meeting reports and insights.
Built for Secure, High-Trust Meetings
Stop Impersonation
Prevent attackers from using AI-generated voices or fake video feeds to infiltrate board calls, interviews, or client meetings. RealMeeting delivers instant alerts when manipulation is detected so your team can act immediately.
Respond with Confidence
Get clear in-meeting results labeled “Authentic” or “Manipulated,” complete with confidence scores. Hosts can rescan or end a meeting early, then review full results later in the Reality Defender dashboard.
Protect Privacy
No personal data, recordings, or voiceprints are ever stored. All analysis happens in real time. RealMeeting meets enterprise standards for security and compliance. Certified to SOC2 Type 2, GDPR, and UK Cyber Essentials.
Protect the Meetings That Matter Most
Hiring Fraud Prevention
Stop impersonators and AI-generated candidates from passing live interviews. RealMeeting verifies authenticity in real time, helping recruiters make confident hiring decisions.
Stop Executive Impersonations
Detect AI-generated voices or video feeds used to impersonate senior leaders during board meetings or internal strategy sessions. Prevent social engineering and reputational damage before it starts.
Identify Social Engineer Attacks
RealMeeting is built for scale and can scan virtual meetings as small as a 1:1 up through all-hands calls.
Our Technology
Powered by continuous research and model development, Reality Defender’s ensemble system combines multiple detection methods to stay ahead of evolving AI manipulation techniques. Each scan runs through independently trained models that cross-validate results, delivering reliable outputs and clear explanations built on years of applied research in deepfake forensics.