DeepImageGuard
Detection of AI generated Deepfake Images
- Detect AI generated and edited images
- See which areas look manipulated
- A clear authentic or suspicious verdict
Overview
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.
7
Products across the synthetic media suite
4 media types
Images, video, voice and live virtual meetings
Findings included
Every completed check returns the evidence behind its result
In this category
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.
Detection of AI generated Deepfake Images
Detection of AI generated Deepfake Videos
Detection of AI generated, cloned or altered voices in audio recordings
Assess the risk of deepfake impersonation and AI assisted fraud attempts
Check the images and video people meet online, while they are on screen
Confirm the person on a video call is real, while the call is happening.
Find and verify suspected deepfakes of a person across online platforms.
How it works
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.
One assessment
Every completed check returns the findings that led to its result, so the person deciding can see what was noticed and explain it later.
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.
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.
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.
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
The same question, asked in very different rooms. These are the situations teams bring to the suite most often.
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.
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.
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.
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.
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.
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
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.
SyntheticMediaGuard checks images, video, voice and audio recordings, live virtual meetings, and media encountered while browsing. Photographs and video can be checked as files after the fact or as they arrive, voice recordings can be checked for cloned and synthetic speech, and a video call can be checked while it is still in progress. The suite can also search online platforms for material impersonating a specific person, which matters when the concern is not one file but everything circulating about someone.
Every completed check returns a clear assessment together with the findings that support it, so a reviewer can see why media was judged genuine, questionable or manipulated. Where the media is long, the assessment indicates which parts warrant closer review rather than leaving a single verdict over the whole file. The result is written to be read by the person making the decision, not only by a specialist, and it is prepared in a form suitable for investigations, compliance reviews and audit records.
Yes. Virtual meetings can be checked while they are running, on the platforms organisations already use, so a swapped face or a synthetic participant can be flagged during the conversation rather than discovered afterwards. This matters most where a call itself authorises something such as a payment instruction, an approval or an identity check, because by the time a recording is reviewed the decision has usually already been made.
SyntheticMediaGuard is designed to assess media without building a store of the biometric detail it examines, so verifying whether media is genuine does not leave an organisation holding a new collection of faces and voices. Analysis can also be run within an organisation's own environment where the material is sensitive or must not leave a jurisdiction. The intent is that a media authenticity check reduces risk overall rather than trading one exposure for another.
SyntheticMediaGuard is used by banks and financial services teams verifying customers and payment instructions, insurers assessing claim photographs and video, law enforcement and investigation teams weighing recordings as evidence, newsrooms verifying material before publication, and enterprise security teams protecting senior people from impersonation. What these teams have in common is that they have to make a decision on media somebody else produced.
SyntheticMediaGuard produces an evidence based assessment of risk, not a guarantee. Synthetic media techniques change continuously, and any method of detection, including human judgement, can be mistaken in either direction. That is precisely why every result is returned with the findings behind it. The assessment is there to inform the person deciding, to focus attention on what deserves scrutiny, and to be examined and challenged rather than accepted without question.
The rest of the line
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.