Enterprise security
Help employees recognise suspicious video used in impersonation, executive fraud, social engineering or deceptive communication.
How the sector deploys itDeepBrowserGuard
A browser extension that checks supported online video for signs of AI generation or manipulation while it is being watched. The authenticity assessment appears inside the browsing experience, so nobody has to copy a link, download a clip or upload it to a separate verification service first
DeepBrowserGuard · workspaceVideo on the page
video on this pageno markings
- On page
- Prepared
- Analysis
- Assessed
- Result
What it recognises
- Online videowaiting
- Live videowaiting
- Embedded mediawaiting
- Web applicationswaiting
Running
Interface simulation: an illustration of the workflow, not a live analysis
DeepBrowserGuard
What Are You Actually Watching?
Follow the evidence while it plays
What it is
Know when the video you are watching may not be real
Most video verification tools require you to copy a link, download a file or upload content somewhere else before you can check it. DeepBrowserGuard makes the process simpler.
It works as a browser extension and evaluates supported video content directly within the browsing experience. Whether someone is watching a recorded clip, embedded media or supported live video, DeepBrowserGuard can provide an authenticity assessment without interrupting the way they normally use the web.
The product has been designed with privacy and usability in mind. It limits the information required for an authenticity check and avoids unnecessary collection of browsing content.
- Checks while you watch
Real-time
Checks while you watch
Video can be evaluated during normal browsing instead of waiting for a separate upload and scan.
- Designed for data minimisation
Privacy conscious
Designed for data minimisation
Only the information required to perform the authenticity assessment is processed.
- Built for everyday browsing
Lightweight
Built for everyday browsing
Detection runs quietly without turning normal browsing into a separate verification workflow.
- Built for managed environments
Enterprise ready
Built for managed environments
Organisations can introduce browser based video verification across supported work environments with central oversight.
How it works
From online video to a clear authenticity signal
- 01
Video in the browser
Supported video content is identified while you browse normally
- 02
Information prepared
The extension securely prepares only what the check requires
- 03
Protected analysis
Transferred through a secure process that limits data exposure
- 04
Authenticity assessment
The visual evidence is examined for signs of synthetic media
- 05
Result on the page
A clear result returns inside the browsing experience
DeepBrowserGuard · workspace01 Video in the browser
Interface simulation: an illustration of the workflow, not a live analysis
- 01
Video in the browser
Supported video content is identified while you browse normally
- 02
Information prepared
The extension securely prepares only what the check requires
- 03
Protected analysis
Transferred through a secure process that limits data exposure
- 04
Authenticity assessment
The visual evidence is examined for signs of synthetic media
- 05
Result on the page
A clear result returns inside the browsing experience
What sets it apart
Browser deepfake detection designed for the way people actually use the web
Detect while the video is still being watched
Interface simulation: an illustration of the workflow, not a live analysis
How it compares
A simpler alternative to manual video verification
Checks video where it is being watched
- Upload and scan tools
- No: Usually requires leaving the page
- Manual visual judgement
- Partly: Relies entirely on the viewer
- DeepBrowserGuard
- Yes: Directly in the browser
Works while supported video is playing
- Upload and scan tools
- No: Usually after submission
- Manual visual judgement
- Partly: Depends on the viewer
- DeepBrowserGuard
- Yes: Yes
Reduces manual verification steps
- Upload and scan tools
- Partly: Limited
- Manual visual judgement
- No: No
- DeepBrowserGuard
- Yes: Yes
Supports different online video experiences
- Upload and scan tools
- Partly: Depends on the submitted media
- Manual visual judgement
- No: Limited by human observation
- DeepBrowserGuard
- Yes: Designed for supported browser video
Privacy focused workflow
- Upload and scan tools
- Partly: Often requires uploading media
- Manual visual judgement
- Yes: No data is submitted
- DeepBrowserGuard
- Yes: Designed around data minimisation
Organisation wide deployment
- Upload and scan tools
- No: Usually limited
- Manual visual judgement
- No: No
- DeepBrowserGuard
- Yes: Supported for managed environments
Central administrative visibility
- Upload and scan tools
- Partly: Depends on the service
- Manual visual judgement
- No: No
- DeepBrowserGuard
- Yes: Available for enterprise deployments
The architecture
Detection in the browser, verification through a protected analysis environment
- Standard online video
- Supported live video
- Embedded media
- Web applications
On the device
Browser extension
Prepares only the information the check requires
Privacy boundary
The complete browsing experience does not need to be exposed simply to obtain an authenticity assessment.
Protected analysis
Authenticity engine
Assesses the visual evidence for signs of synthetic media
Result returns
On-screen result
Use cases by sector
Where browser based video authenticity checks can make a difference
Banking & finance
Help teams identify potentially manipulated video of executives, advisors, customers or public figures used to support financial scams.
How the sector deploys itMedia & journalism
Give journalists and editorial teams a quick first level authenticity check when reviewing video discovered online.
Government & public sector
Support officials reviewing online video that may contain impersonation, misinformation or manipulated visual content.
How the sector deploys itEducation
Help students and educators understand the growing difference between authentic, manipulated and AI-generated media.
How the sector deploys itOnline platforms
Support trust and safety, moderation and investigation teams when reviewing video content published or shared online.
How the sector deploys itDeployment strategy
Install once. Add video authenticity awareness across everyday browsing.
01 · Deploy the browser extension
Interface simulation: an illustration of the workflow, not a live analysis
Four things a browser video checker has to get right
A useful browser based deepfake detector needs to balance coverage, privacy, performance and organisational control.
- Where it runs
- DeepBrowserGuard works within supported browsers, allowing users to evaluate online video without repeatedly switching between websites and verification tools. The experience is designed to remain lightweight and unobtrusive during normal browsing.
- Privacy model
- DeepBrowserGuard follows a data minimisation approach. The product is designed to use only the information required for authenticity analysis rather than unnecessarily transferring complete browsing content.
- Performance
- Video verification should happen quickly enough to remain useful while the content is still being viewed. DeepBrowserGuard is therefore designed to perform analysis without introducing a complicated or disruptive user workflow.
- Enterprise controls
- Organisations can deploy DeepBrowserGuard across managed devices and apply appropriate administrative policies. Central visibility and trusted site controls can help security teams adapt the product to their own environment.
Frequently Asked Questions
DeepBrowserGuard works within the browser and identifies supported video content as it appears. It securely evaluates the visual information required for an authenticity check and returns the result directly within the browsing experience. This means users do not have to download every suspicious video and upload it to a separate deepfake detection service.
DeepBrowserGuard is designed around data minimisation and privacy conscious processing. The system limits the information required for an authenticity check rather than unnecessarily collecting the user's entire browsing experience. For organisations with specific privacy, security or deployment requirements, these controls can be reviewed during implementation planning.
DeepBrowserGuard is designed for supported Chromium based browsers such as Chrome and Edge. It can work with multiple forms of supported online video, including common web video experiences, embedded media and supported live video. Exact compatibility may depend on the website, the browser environment and the deployment configuration.
Yes. DeepBrowserGuard is designed for both individual and managed organisational use. Enterprise teams can deploy the extension across supported devices and apply administrative policies according to their internal security requirements.
DeepBrowserGuard can support organisations and professionals who regularly depend on online video for communication, investigation, decision making or public information.
The rest of the line
More in SyntheticMediaGuard
Where it runs
Industries deploying DeepBrowserGuard
Each sector page covers the threat model, the controls, and the regulators that apply.
Check a video in the browser you already use
Run a check on this page, or have a solutions engineer walk your team through a rollout across managed devices.