Stop deepfake video before your team acts on it
Catch synthetic faces and manipulated video on Zoom, Teams, Meet, and Webex, scored continuously through the call, whether the fake is an executive, a vendor, or a job candidate.
Where deepfake video shows up
Deepfaked executives on camera
Attackers join approval calls as a convincing on-camera executive or colleague, the way the Arup call put a fake CFO and fake colleagues in one meeting.
Synthetic candidates in interviews
Fraudulent candidates use deepfake video to pass remote screens and reach payroll and systems.
Spoofed vendors on video
A vendor rep on a video call who is not who they appear to be, pushing a payment or a change.
How a deepfake video attack unfolds
These attacks move through a recognizable sequence. Diopter scores that sequence while the call is still in progress.
A trusted face appears
An executive, colleague, vendor, or candidate shows up on camera, convincing at first glance.
A deadline compresses the check
A close, a payroll run, or an offer window pressures the team to act before verifying.
The call narrows
The conversation moves to a smaller meeting or an off-domain follow-up that removes witnesses.
The asks build
Each step normalizes the next, an approval, then access, then one more exception.
The decision lands
An approval, a hire, or a transfer goes through on the strength of a face that was never real.
What Diopter looks for
Frame-to-frame synthesis
Video is scored continuously for the artifacts of generative and face-swap models, across the whole call instead of one screenshot.
Cross-participant consistency
Diopter compares participants for shared synthetic signatures that expose a fabricated room.
Liveness and capture cues
Signals that separate a live camera feed from replayed or rendered video.
One capability across every call where trust moves.
The same detection applies wherever an attacker uses a call to push money, access, or a hire through.
Hiring & staffing
Catch synthetic candidates in video interviews before an offer is extended.
Financial wire fraud
Flag a deepfaked finance lead on camera before a transfer is authorized.
Vendor payments
Expose a spoofed vendor rep pushing a banking change on a video call.
Executive impersonation
Surface a cloned executive on camera before staff act on the request.
From signals to one action your team can take.
- VideoSynthetic detected
- LivenessFailed
- ConversationPressure rising
When video and conversation cross threshold, Diopter raises a verdict and a recommended action, hold for verification, before the irreversible step.
Most tools check one clip. Diopter reads the whole call.
Point-in-time detectors answer a single question: is this video or voice fake? A good clone passes that test. Diopter scores the whole conversation, the authority claims, the manufactured urgency, the push to go off-channel, and the escalating ask, then raises a verdict on the pattern a single frame cannot show.
A deepfaked face on camera passes a frame check. The way that fake builds authority and pressures the room does not.
Light to deploy, clear about what runs where.
Pilot in days, roll wider through MDM, and keep sensitive call media inside your perimeter.
- On-prem and hybrid deployments supported
- No caller-side install
- Bot or bot-free capture
- Configurable retention, including ZDR
- MDM rollout (Intune, Jamf)
- SOC 2 Type II in progress
What security and fraud teams ask first.
Walk an attack arc with Diopter.
In 30 minutes, we will replay a real deepfake incident, show the signals Diopter would score, and map the verdict your team could act on.