Deepfake detection before content airs
Video authenticity checks that flag synthetic and manipulated content in the newsroom.
A leading news broadcasterProblem statement
What the client was up against
User generated and wire video reaches the newsroom faster than editors can verify it. One manipulated clip on air can damage trust for years.
Our approach
How we approached it
- Partnered with a specialist detection company
- Placed checks inside the newsroom workflow
- Gave editors a clear verdict with the evidence
Solution we created
What we built
A Cortex workflow that runs incoming video through deepfake detection and flags synthetic or manipulated content before broadcast.
Agents in the system
The multi agent team behind it
SourcesNewsroom media systems, detection partner API
Intake agentCollects incoming video
Detection agentScores authenticity with a partner model
Editor alertExplains the verdict to the desk
People decideReview, approve and act
Intake agentCollects incoming video
Detection agentScores authenticity with a partner model
Editor alertExplains the verdict to the desk
Newsroom media systemsdetection partner API
What it was built to change
The outcome it is designed for
Fewer manipulated clips reaching air and faster verification for editors.
This is a pilot without published results yet. We show the problem and the build, not numbers we have not measured.
Client names, detailed case studies, demos and references can be shared on request.
Looking for a similar solution?
Tell us your version of this problem. We will walk you through what we built and what a first pilot would look like for you.
