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FaceOff Technologies

Four kinds of media · one examination · three answers

Overview

What SyntheticMediaGuard does

SyntheticMediaGuard checks whether the media your organisation receives can be trusted. It examines images, video, voice recordings, virtual meetings and the media people meet online, then reports whether what you are looking at appears genuine, altered, or generated by AI.

Your teams are sent photographs, videos, voice notes and meeting invitations by people they cannot see. A growing share of that material is now made or altered by artificial intelligence, and it is convincing enough that looking harder no longer settles the question.

SyntheticMediaGuard settles it for them. Submit a file, a recording, a live call or a page someone is looking at, and it reports whether the content appears genuine, altered, or created by AI. The answer arrives with the findings that support it, so the person deciding can see what was noticed and explain it to someone else afterwards.

It is built for organisations that have to act on media they did not create. A bank confirming a new customer is a real person. An investigator weighing a recording that may be evidence. A finance team asked to release a payment on a video call. The question is the same in every case, and the answer comes back in the same form whichever product in the suite produced it.

Products across the synthetic media suite

7

Products across the synthetic media suite

Images, video, voice and live virtual meetings

4 media types

Images, video, voice and live virtual meetings

Every completed check returns the evidence behind its result

Findings included

Every completed check returns the evidence behind its result

In this category

7 products. One defence against synthetic media

Synthetic media arrives as a file, a voice note, a live call, an identity document, a meeting invitation, or a page open in a browser. There is a product for each of those surfaces, and every one of them reports in the same language.

DeepImageGuard

Detection of AI generated Deepfake Images

  • Detect AI generated and edited images
  • See which areas look manipulated
  • A clear authentic or suspicious verdict
Explore DeepImageGuard

DeepVideoGuard

Detection of AI generated Deepfake Videos

  • Detect face swaps and synthetic video using deep analysis
  • Pinpoint the moments that need review
  • A forensic report you can act on
Explore DeepVideoGuard

DeepAudioGuard

Detection of AI generated, cloned or altered voices in audio recordings

  • Detect cloned and synthetic speech
  • Review the passages that raised concern
  • Findings ready for investigation
Explore DeepAudioGuard

DeepFraudGuard

Assess the risk of deepfake impersonation and AI assisted fraud attempts

  • Protect executives from impersonation
  • A risk rating for each suspected attempt
  • An incident record for legal follow-up
Explore DeepFraudGuard

DeepBrowserGuard

Check the images and video people meet online, while they are on screen

  • Verify media without leaving the page
  • A result while the content is still open
  • Rolls out to a workforce as an extension
Explore DeepBrowserGuard

DeepMeetGuard

Confirm the person on a video call is real, while the call is happening.

  • Covers Zoom, Teams and Meet sessions
  • Spot swapped faces and avatars live
  • A warning before a decision is made
Explore DeepMeetGuard

DeepFakeFinder

Find and verify suspected deepfakes of a person across online platforms.

  • Search platforms for impersonating media
  • Verify each match against the real person
  • Ongoing monitoring, held as a case file
Explore DeepFakeFinder

How it works

Four steps, whatever the media

The same path runs from a photograph to a live video call, so a team that has learned one product already knows how to read the next.

  • ImagesPhotographs and stills
  • VideoFiles or footage as it arrives
  • VoiceRecordings and voice notes
  • Live meetingsA call while it runs
Whatever the media

One assessment

Is this genuine

  • Appears genuine
  • Questionable
  • Manipulated
Never a verdict on its own

Every completed check returns the findings that led to its result, so the person deciding can see what was noticed and explain it later.

  • The findings behind itWritten for the person deciding
  • A record you can keepFor an investigation, review or audit
  1. 01

    Send it in

    Upload a file, point the check at a recording, or run it on a call or a web page as it happens. Your teams can work in the tools they already use, or the check can sit inside a system you already run.

  2. 02

    It gets examined

    The media is examined for the marks that altered and AI generated content tends to leave behind. What is seen and what is heard are weighed together, so content that looks convincing in one respect still has to hold up in the others.

  3. 03

    You get an answer

    A clear verdict comes back: the media appears genuine, questionable, or manipulated. Where a recording is long, the result points to the parts that deserve a closer look rather than leaving one judgement across the whole file.

  4. 04

    You can act on it

    The findings behind the verdict come with it, written for the person making the decision rather than for a specialist, and in a form suitable for an investigation, a compliance review or an audit record.

Use cases

Where organisations put it to work

The same question, asked in very different rooms. These are the situations teams bring to the suite most often.

Banking and financial services

Confirm that the person opening an account or approving a transfer is real rather than a generated face or a cloned voice. Payment instructions that arrive by video call or voice note can be checked before the money moves.

Insurance

Check photographs and video submitted with a claim before it is settled. Damage that was never there, and images generated to support a story, can be caught at assessment rather than found during a later review.

Law enforcement and investigations

Establish whether a recording can be relied on as evidence, and record why. Findings are returned in a form an investigator can put in a case file and a colleague can follow later.

Media and journalism

Verify a photograph, a clip or a voice recording before it is published. A newsroom can check material from an unknown source against the clock rather than taking it on trust.

Enterprise and executive protection

Guard against impersonation of senior people, whose voices and faces are widely available. Suspected attempts can be assessed and kept as a record for legal follow up.

Government and public sector

Check submitted photographs, documents and recordings where the decision that follows is difficult to reverse. Sensitive material can be examined inside your own environment where it must not leave a jurisdiction.

FAQ

What people ask about SyntheticMediaGuard

Answered the way a reviewer, a fraud team or a compliance lead asks them.

SyntheticMediaGuard is FaceOff's suite for establishing whether digital media is genuine. It examines images, video, voice recordings, live virtual meetings and the media people encounter online, and reports whether the content appears authentic or shows signs of being altered or generated by AI. It is used by organisations that have to act on media they did not create, such as banks verifying a customer, investigators assessing evidence, and teams deciding whether a call or a document can be relied on. Every product in the suite returns its result in the same form.

See how SyntheticMediaGuard reads your media

Bring a file, a recording or a meeting you are unsure about. We will walk through what the assessment returns, and how a reviewer would use it.