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
DeepMeetGuard · workspaceMeeting in progress
meeting in progressno markings
- Meeting
- Joined
- Assessing
- Host view
- Record
What is assessed
- What you seewaiting
- What you hearwaiting
Running
Interface simulation: an illustration of the workflow, not a live analysis
DeepMeetGuard
Is Everyone On The Call Real?
Follow the evidence through a meeting
What it is
Know who is real in every important video conference call
Protect important online meetings from deepfakes, cloned voices and digital impersonation while the conversation is happening.
DeepMeetGuard joins the meeting as an independent participant and helps verify the authenticity of the people you see and hear. There is nothing for attendees to install, making it suitable for employees, customers, partners and external guests.
Get live visibility during the conference call, and protection is added to a meeting without touching a single attendee's device.
- Teams, Google Meet and more
Meeting platforms
Teams, Google Meet and more
- 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
DeepMeetGuard joins
An independent participant, nothing for attendees to install
- 03
Video and voice assessed
Examined for signs of deepfakes and synthetic speech
- 04
Live host view
Authenticity findings while the meeting is active
- 05
Meeting record
Tamper evident report with participant level findings
DeepMeetGuard · workspace01 Meeting
Interface simulation: an illustration of the workflow, not a live analysis
- 01
Meeting
Teams, Zoom, WebEx or LiveKit call
- 02
DeepMeetGuard joins
An independent participant, nothing for attendees to install
- 03
Video and voice assessed
Examined for signs of deepfakes and synthetic speech
- 04
Live host view
Authenticity findings while the meeting is active
- 05
Meeting record
Tamper evident report with participant level findings
Product exclusiveness
What makes DeepMeetGuard different
Live deepfake video verification
Interface simulation: an illustration of the workflow, not a live analysis
How it compares
Measured against a client based approach and an unaided host
Deepfake video checks during meetings
- Typical client based approach
- Partly: May depend on installed software or device support
- Unaided host review
- No: Relies on visual judgement
- DeepMeetGuard
- Yes: Automated visual authenticity analysis
Voice clone and synthetic speech checks
- Typical client based approach
- Partly: Often limited
- Unaided host review
- No: Difficult to identify consistently
- DeepMeetGuard
- Yes: Voice authenticity analysis
Coverage for external participants
- Typical client based approach
- Partly: May require individual setup
- Unaided host review
- Partly: Depends entirely on people
- DeepMeetGuard
- Yes: No attendee installation required
Live authenticity visibility
- Typical client based approach
- Partly: Depends on the solution
- Unaided host review
- No: No automated visibility
- DeepMeetGuard
- Yes: Live host view
Video and voice assessment
- Typical client based approach
- Partly: May focus on a single signal
- Unaided host review
- No: Manual observation
- DeepMeetGuard
- Yes: Both video and voice
Meeting audit record
- Typical client based approach
- Partly: Varies
- Unaided host review
- No: No automated record
- DeepMeetGuard
- Yes: Tamper evident report
Multi platform support
- Typical client based approach
- Partly: Can be platform dependent
- Unaided host review
- Partly: Manual only
- DeepMeetGuard
- Yes: Teams, Zoom, WebEx and LiveKit
The architecture
In the meeting, nothing on your machines
One boundary, and nothing crosses it
- Microsoft Teams
- Zoom
- WebEx
- LiveKit
In the meeting
DeepMeetGuard
Joins as an independent participant
Install boundary
Nothing crosses it. DeepMeetGuard is a participant, not software on anyone’s device, so external guests are covered too.
Outside the call
Video and voice assessed
Checked for signs of deepfakes and synthetic speech
While the call runs
Live view for the host
When the call ends
Meeting recordTamper evident · participant level findings
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 DeepMeetGuard to the call. Nothing for attendees to install.
01 · Invite DeepMeetGuard
Interface simulation: an illustration of the workflow, not a live analysis
Under the hood
Built for practical meeting protection
DeepMeetGuard is designed to add authenticity verification to important virtual meetings while keeping deployment simple for organisations and participants.
- Deployment model
- DeepMeetGuard participates directly in authorised meetings without requiring software to be installed on individual attendee devices. It is present when needed and leaves when the meeting ends.
- Meeting platform compatibility
- The product supports Microsoft Teams, Zoom, WebEx and LiveKit, allowing organisations to use the same meeting authenticity approach across different conferencing environments.
- Live meeting intelligence
- Relevant authenticity findings are made available to the host while the meeting is active, allowing suspicious activity to be reviewed when it matters most.
- Video and voice assessment
- DeepMeetGuard evaluates multiple forms of meeting evidence instead of relying on a single visual or audio clue. This provides a broader view of participant authenticity while keeping the underlying detection methods protected.
Frequently Asked Questions
No. DeepMeetGuard joins the meeting independently, so employees, customers, partners and other attendees do not need to install additional software on their devices. Simply add DeepMeetGuard to the meeting you want to protect.
DeepMeetGuard examines available video and voice information for signs that may be associated with deepfake manipulation, synthetic identities, voice cloning, artificially generated speech or other forms of digital impersonation. The results are presented in a clear form so meeting hosts can understand when additional verification may be appropriate.
DeepMeetGuard supports Microsoft Teams, Zoom, WebEx and LiveKit. This allows organisations to apply a consistent meeting authenticity approach across multiple conferencing environments.
During the meeting, the host can view relevant authenticity findings through a secure live experience. After the meeting, DeepMeetGuard generates a tamper evident report containing important session information, timestamps and participant level findings for later review.
DeepMeetGuard is designed for meetings where participant identity and authenticity matter. Common use cases include banking and financial approvals, legal proceedings, government briefings, telemedicine consultations, recruitment interviews, executive approvals, board meetings and investor discussions.
The rest of the line
More in SyntheticMediaGuard
Where it runs
Industries deploying DeepMeetGuard
Each sector page covers the threat model, the controls, and the regulators that apply.
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.