Banking & finance
Confirm participants before authorising high-value transactions on a call.
How the sector deploys itDeepMeetGuard
Know in real time that the people on screen are genuine — not deepfakes, cloned voices or impostors. It joins your video meetings as a silent participant, watches the video and audio as the meeting happens, and produces a tamper-evident record of what it found, without anyone installing software
Product Walkthrough
0:000:00
What it is
Video meeting integrity & deepfake defence
DeepMeetGuard analyses each participant's video frame by frame during the call, spotting synthetic facial manipulation, deepfake overlays and the spatial inconsistencies that give a fake away — while the meeting is still happening, not after the fact.
It joins the meeting as an independent participant that needs no software on anyone's device, so it covers external guests and locked-down corporate machines alike — nothing to roll out, nothing to uninstall.
It runs as a stateless participant, so protection is added to a meeting without touching a single attendee's device.
- Meeting platforms covered — Teams, Zoom, WebEx and LiveKit
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Meeting platforms covered — Teams, Zoom, WebEx and LiveKit
- Latency goal, so findings keep pace with the call
Sub-second
Latency goal, so findings keep pace with the call
- Installs on any attendee's device, guests included
Zero
Installs on any attendee's device, guests included
- Aggregate risk level in the tamper-evident PDF
Per participant
Aggregate risk level in the tamper-evident PDF
How it works
From a meeting invite to a tamper-evident record
01
Meeting
Teams, Zoom, WebEx or LiveKit call
02
Headless bot joins
Subscribes to streams over WebRTC, no install
03
Audio + video pipelines
Deepfake and voice-clone detection in real time
04
Live dashboard
Risk shown to the host over an encrypted live link
05
Forensic report
Tamper-evident PDF per participant
Product exclusiveness
What sets DeepMeetGuard apart
Live video deepfake verification
DeepMeetGuard analyses each participant's video frame by frame during the call, spotting synthetic facial manipulation, deepfake overlays and the spatial inconsistencies that give a fake away — while the meeting is still happening, not after the fact.
Flagship capability · frame by frame, during the call
Audio authenticity engine
Listens for voice cloning, AI-generated speech and audio tampering by detecting anomalies in the sound itself, so a cloned voice is caught even when the picture looks convincing.
Voice cloning · AI speech · audio tampering
Headless bot — no client install
It joins the meeting as an independent participant that needs no software on anyone's device, so it covers external guests and locked-down corporate machines alike — nothing to roll out, nothing to uninstall.
Zero-touch · nothing to roll out
Live telemetry dashboard
The host gets a secure, real-time view of the AI's findings over low-latency connections, so risk is flagged as the conversation unfolds rather than discovered later.
Secure and low-latency, while the call runs
Automated forensic audits
When the meeting ends, DeepMeetGuard compiles a tamper-evident PDF with session metadata, the segments analysed, timestamps and an aggregate risk level for each participant — a record you can keep for compliance.
Tamper-evident PDF · per-participant risk
Multi-platform coverage
One system works across Microsoft Teams, Zoom, WebEx and LiveKit, so meeting integrity does not depend on which conferencing tool a given call happens to use.
Teams · Zoom · WebEx · LiveKit
How it compares
Measured against plugins and an unaided host
Set against installed client-app plugins, and against relying on the host to spot problems unaided.
Detects deepfake video on the call
- Client-app plugins
- Partly — Device-dependent
- Unaided host review
- No — Naked eye
- DeepMeetGuard
- Yes — Frame-by-frame
Detects cloned or synthetic voices
- Client-app plugins
- No — Rarely
- Unaided host review
- No — No
- DeepMeetGuard
- Yes — Audio engine
Covers external guests & locked-down devices
- Client-app plugins
- No — Install per user
- Unaided host review
- Partly — Relies on people
- DeepMeetGuard
- Yes — Headless bot, no install
Real-time risk shown to the host
- Client-app plugins
- Partly — Varies
- Unaided host review
- No — No
- DeepMeetGuard
- Yes — Live dashboard
Multi-modal (video + audio)
- Client-app plugins
- Partly — Usually video only
- Unaided host review
- No — No
- DeepMeetGuard
- Yes — Both
Tamper-evident audit record
- Client-app plugins
- No — No
- Unaided host review
- No — No
- DeepMeetGuard
- Yes — Forensic PDF
Works across Teams, Zoom, WebEx, LiveKit
- Client-app plugins
- Partly — Platform-specific
- Unaided host review
- Partly — Any, but no detection
- DeepMeetGuard
- Yes — All four
The architecture
In the meeting — nothing on your machines
One boundary, and nothing crosses it
- Microsoft Teams
- Zoom
- WebEx
- LiveKit
In the meeting
Headless bot
Subscribes to each stream over WebRTC
Install boundary
Nothing crosses it. The bot is a participant, not software — external guests and locked-down machines are covered without an install.
Outside the call
Audio + video pipelines
Deepfake and voice-clone detection, in parallel
Sub-second
Live risk to the host
When the call ends
Forensic reportTamper-evident PDF · risk level per participant
Use cases by sector
Use cases across sectors
Government & defense
Assure the integrity of sensitive briefings and remote sign-offs.
How the sector deploys itHealthcare & telemedicine
Verify that the person in a consultation is the genuine patient or clinician.
How the sector deploys itBoards & executives
Guard board and investor meetings against synthetic-identity fraud.
Deployment strategy
Invite a bot to the call — nothing to install
Invite the bot to the meeting
DeepMeetGuard joins as a headless participant on Microsoft Teams, Zoom, WebEx or LiveKit — no attendee has to install or configure anything.
Subscribe to the streams
Built on WebRTC and LiveKit's selective-forwarding architecture, it subscribes to each participant's audio and video efficiently.
Real-time multi-modal analysis
Separate audio and video pipelines feed the detection models continuously, working toward a sub-second latency goal so findings keep pace with the call.
Live monitoring
The host watches deepfake status, voice authenticity and risk level on a secure dashboard delivered over a low-latency live link.
Forensic audit report
When the meeting ends, a tamper-evident PDF is compiled with metadata, analysed segments, timestamps and a per-participant risk level.
Under the hood
What the platform is made of
The deployment model, the platforms it integrates with, the backend behind the dashboard, and how the analysis runs.
- Deployment model
- A stateless, headless bot that joins as an ordinary participant. There are no client-side installations on anyone's device, and it leaves once the meeting is over.
- Platform integration
- Works with Microsoft Teams, Zoom, WebEx and LiveKit, built on WebRTC and a selective-forwarding unit that routes only the streams it needs.
- Real-time backend
- An asynchronous, event-driven backend broadcasts insights to hosts over secure, low-latency connections.
- Processing
- Parallel audio and video pipelines run the detection models with continuous packet capture and a sub-second latency goal.
Frequently Asked Questions
No. DeepMeetGuard is a headless bot that joins as an independent participant — no software is needed on anyone's device. That means it also covers external guests and locked-down machines. You simply invite the bot to the meeting, and it leaves once the meeting ends.
It runs two pipelines continuously with a sub-second latency goal. The video engine analyses each participant's frames for synthetic facial manipulation and spatial inconsistencies. The audio engine detects voice cloning, AI-generated speech and audio tampering by spotting anomalies in the sound itself. It subscribes to each participant's audio and video efficiently, taking only the streams it needs.
Microsoft Teams, Zoom, WebEx and LiveKit.
The host watches a secure, real-time dashboard over low-latency connections, showing deepfake status, voice authenticity and a risk level per participant. At the end of the meeting it compiles a tamper-evident PDF forensic audit with session metadata, analysed segments, timestamps and an aggregate risk level per participant.
Banking and finance (confirming participants before high-value transactions), legal and courts (remote depositions and hearings), government and defence (sensitive briefings and remote sign-offs), healthcare and telemedicine, enterprise and HR (deepfake-proof remote interviews and executive approvals), and board and investor meetings.
The rest of the line
More in SyntheticMediaGuard
Add a silent participant to the calls that matter
Book a walkthrough and we will show the bot joining a meeting, the host dashboard as it runs, and the report it leaves behind.