Know what’s real
before you act on it.
Safe Trust AI examines video, audio, images and documents and tells you whether they were captured or synthesized — with the evidence trail your risk, identity and trust & safety teams need to stand behind the call.
Built for the teams that carry the consequences of getting authenticity wrong.
Synthetic media stopped being a novelty. It became an attack surface.
The same generative tools that make a demo feel impressive are now used to move money, open accounts, and manufacture evidence. The question is no longer whether your team will meet a fake — it’s whether you’ll catch it in time.
One call can clear a wire
A single video meeting populated with cloned executives was enough to authorize a multi-million-dollar transfer. Voice and likeness are no longer proof of presence — and your controls were written for a world where they were.
Fraud is scaling faster than review
Detected face-swap and voice-clone attempts against identity systems have multiplied year over year — faster than manual review teams can absorb.
A convincing fake is now cheap
What used to need a studio needs a laptop and a reference clip. Defenders need examination that keeps pace with how fast generation moves.
A score is an opinion. An evidence trail is a decision you can defend.
Anyone can return “real” or “fake.” What lets your team act on it — and answer for it later — is being able to show the work behind every call.
Calibrated confidence, not a gut feeling
Scores are tuned so that a 90 means the same thing across millions of files. Your thresholds stay meaningful over time instead of drifting as content changes.
- Set distinct thresholds for auto-action vs. human review
- Consistent meaning so your policy doesn’t quietly erode
Every verdict shows its working
See which detectors fired and how heavily each one counted, exported as a signed, tamper-evident report — so a flag is explainable to a regulator or counsel, not just a red light on a dashboard.
- Per-signal breakdown with provenance and reviewer trail
- Exportable for case files, disputes, or disclosure
Likely synthetic
One examination across every medium a fake hides in
Attackers don’t stay in one format, so examination can’t either. The same platform inspects faces, voices, images and documents — and feeds verdicts into the tools your team already works in.
- API into your fraud stack, or a console for analysts
- Identical auditable record from either path
Video & face
Face swaps, reenactment, synthetic avatars
Voice & audio
Cloning, splicing, text-to-speech
Images
Diffusion-generated, inpainted, edited
Documents & IDs
Forged IDs, tampered PDFs, fabricated records
From first upload to a verdict you can defend.
Every file moves through the same path. Nothing is a black box you have to take on faith — each stage leaves something you can inspect.
Bring your hardest cases
Start with the files that fooled your team — or nearly did. No production data or integration is required to run a first evaluation under NDA.
Connect via API or console
Pipe media in through the API to your existing fraud and case-management flow, or let analysts upload directly in the review console. Both paths produce the same record.
Examine & weigh signals
Independent detectors look for the artifacts generation leaves behind — irregular blink patterns, spectral seams, metadata mismatches. Signals are weighed, not blindly averaged.
Act on the verdict, keep the trail
You get a calibrated score, a plain verdict, and a per-signal report your auditors, regulators or counsel can read — set your own thresholds for what acts automatically.
What changed for teams already using it.
Engagements are described with sector and outcome; client names are withheld under NDA during this stage.
Triage before a human opens the file
Evidence the compliance team could read
Still have a question?
We’d rather show you the real state of things than overstate a badge. Bring your hardest files and we’ll walk through the evidence together.
Talk to the teamExamination runs in regional infrastructure you select, on a data-minimization basis — files are processed to produce a verdict and evidence record, with retention controlled by your policy. Dedicated and on-premise deployments are available for teams that cannot send media off their own environment.
We don't claim to be infallible — that's exactly why every verdict ships with a confidence score and a per-signal breakdown. You set the threshold for automated action versus human review, and ambiguous cases route to analysts with evidence already assembled. Fewer fakes slip through; fewer real files get wrongly blocked.
Detection is an adversarial, moving target, so we treat it as one. Signal models are updated as new generation techniques emerge, and because we rely on multiple independent detectors rather than a single classifier, no one new technique blinds the whole system at once.
Most teams integrate via API and pipe verdicts straight into their case management or fraud-decisioning flow. Analysts who prefer a workspace use the review console. Either path produces the same auditable record, so you don't have to choose between automation and a paper trail.
We're transparent about what is in place now versus on the roadmap. Security and compliance documentation can be reviewed during vendor assessment — we'd rather walk you through the real state of controls than overstate a badge.
Run your hardest cases through it.
Bring the files that fooled your team — or nearly did. We’ll set up an evaluation against your real media and show you the evidence behind every verdict.