Protect your business from deepfakes
Voice, image, video and documents, with a verdict while there is still time to act on it.
1st place, ArA-DF 2026 Arabic dialect deepfake detectionOn premises the full detection stack inside your own networkBackers and partners
We build detection for the organisations most exposed to deepfakes.
The result is a verdict while there is still time to act.
99.7%
Audio detection accuracy
So a flagged call is worth acting on.
<50ms
Audio detection latency
Fast enough to flag a call while it is still live.
120+
Languages supported
Arabic dialects included.
The rise of deepfake deception
Three cases, each reported by a named publication. One cloned voice behind a chat message, one video conference, one phone call.
€95M
Reported loss
Fraudsters posed as Intesa Sanpaolo’s chief executive on WhatsApp, then cloned a lawyer’s voice on the follow up call, and moved €95 million out of its private bank Fideuram.
$35M
Reported loss
Criminals cloned a senior executive’s voice to authorise transfers, resulting in a $35 million financial loss.
$25.6M
Reported loss
A deepfake video conference featuring fake executives deceived a Hong Kong employee into transferring $25.6 million.
Every format an attacker can use
Voice, image, video and documents analysed in one platform, with one history and one set of reports, because a real incident never arrives in a single format.
Runs where your data has to stay
Deploy against a database you host, on your own network. Media and verdicts never leave your perimeter, which is what makes the review board conversation short.
Reaches every channel people actually use
Meetings, messaging, identity and your own systems. Detection is delivered where the conversation happens rather than in a portal someone has to remember to open.
Retention you control
Choose zero retention, where media is discarded once the verdict is returned, or a window you set. None of it trains a model.
Every action is logged
An append only audit trail covering access, exports and configuration changes, streamable to your SIEM.
Multilingual by design
Detection in over 120 languages, and the best Arabic deepfake detection model in the world, first on ArA-DF 2026.
Roles and spending caps
Granular permissions, plus a limit for each person, drawn from the organisation's allowance, so one account cannot use it all.
Our solutions
Six ways in, one platform behind them. Each has its own page with what it catches, how it runs and what an evaluator needs to check.
Voice and audio
01.Catch cloned voices and synthetic speech in live calls and uploaded audio.
Learn moreImage forensics
02.Tell a generated or edited image from a real one, and name the model that made it.
Learn moreVideo forensics
03.Frame level analysis for face swaps and temporal inconsistency in recorded video.
Learn moreWhatsApp bot
06.Forward anything suspicious to a WhatsApp number and get a verdict back in under a minute.
Learn more
Check a voice note on WhatsApp
Forward the voice note, photo or clip to the Raid AI number and the verdict comes back in the same chat, in under a minute for audio and images. Nothing to install, nobody to escalate to.
A voice note from the boss asking for a transfer. Forward it and the reply says whether the voice is cloned.
See the WhatsApp bot
Raid AI EnterpriseRaid AItap for contact info
You can't be fooled on X anymore
Raid AI meets X. Mention @Raidxai under any post and the verdict on its video, image or voice comes back in the replies, right where the fake is spreading. Nothing to install, nothing to forward.
- Find the post you are not sure about.
- Reply to it with @Raidxai is this real.
- Raid AI answers in the thread with its verdict.
Fits the stack you already run
Connect the places conversations happen, then send every verdict onward to the systems your team already watches. No portal anyone has to remember to open.
From media to verdict in milliseconds
Voice clones now take seconds of reference audio, and generated images and video arrive in volume. The same three steps answer all four formats, so an incident is not four separate investigations.
Step one
Submit or stream
Upload audio, images, video or documents, paste a link, send it over WhatsApp, or let Raid AI join a live call.
Any format, any channelStep two
Analyse
Frequency and timing for audio, pixel artefacts for images, frame coherence for video, forgery checks for documents.
Checked the way each format is fakedStep three
Verdict and report
A confidence scored judgement while the call is still open, then a timestamped report and an alert to your SOC.
While the call is still open
Where a cloned identity does the most damage
The industries where the person on the other end of the line moves money, grants access or changes a record. Each has its own page.
Marketplaces
Stop generated seller identities, AI generated listing photos, edited refund evidence and forged payout documents. Raid AI checks the images, documents, video and voice notes a marketplace runs on.
- Listing image forensics
- Seller onboarding checks
- Refund and dispute evidence
- Payout document forensics
Financial services
Protect banks, wealth management, and insurance firms from CEO voice fraud, deepfake video in investor calls, and manipulated documents with Raid AI's real time audio, image, and video detection.
- Trade desk protection
- Treasury & wire transfer security
- Video KYC at account opening
- Visual media verification
Media and entertainment
Verify submitted footage before it airs, catch cloned talent voices and deepfaked endorsements, and check edited stills. Raid AI gives newsrooms, studios and labels a verdict on audio, image and video.
- Verification before broadcast
- A report the editor can read
- The photo desk
- Voice clone checks on talent audio
Healthtech
Catch face swapped patients and practitioners on telehealth calls, forged prescriptions and medical records, and cloned clinician voices. Raid AI checks video, documents, images and voice with zero retention available.
- Telehealth session checks
- Prescription and record forensics
- Voice checks on authorisation calls
- Practitioner onboarding
Public sector
Defend government agencies, defence, and public sector organisations from deepfake audio, manipulated imagery, and synthetic video. Raid AI offers on premise deployment, air gapped operation, and image and video forensics.
- Air gapped deployment
- Visual intelligence analysis
- Multilingual intelligence
- Forensic analysis for investigations
Notes on deepfakes
What we are seeing in detection, the attacks landing on real organisations, and what works against them. Drag to explore.
Raid AI is now on X: tag @Raidxai under any post and get the verdict
A fake spreads fastest in the replies of the post that carries it. Now the check happens there too: tag @Raidxai and the verdict lands in the same thread.
Intesa Sanpaolo loses €95M to a WhatsApp message and a cloned voice
A message from the chief executive, a call from a lawyer he knew to confirm it, and €95 million sent abroad. Neither came from the person it claimed to.
The Arup deepfake: a video call where everyone else was fake
The employee doubted the email. The video call, with the chief financial officer and several colleagues on screen, settled the doubt. None of them were real.
The $35 million voice: how a cloned director fooled a UAE bank
A bank manager heard a director he had spoken to before. Emails from a lawyer backed up the call. The voice had been cloned, and $35 million was gone.
A friend's face on a video call: the Baotou face swap fraud
He saw his friend's face and heard his voice on a video call, and sent 4.3 million yuan to help him. His friend knew nothing about it.
What deepfake detection is, and how to evaluate a detector
A detector returns a verdict and a score. The good ones also show where the manipulation is. Here is how they work on each format, and the eight questions to put to any vendor, ours included.
Raid AI places first on ArA-DF 2026 for Arabic deepfake audio
The first shared task on Arabic audio deepfake detection scored systems on dialects and speakers they never saw in training. Raid AI's audio model ranked first on that track.
How to detect deepfake audio in 2026: a complete guide
AI generated voices now clone anyone in seconds. This guide walks through the techniques, tools, and workflows you need to detect deepfake audio in 2026.
What is voice cloning and how to prevent AI voice fraud
Voice cloning can replicate a person from three seconds of audio. Here is how the technology works, why it matters, and how to defend against AI voice fraud.
Real time vs batch deepfake detection: which do you need?
Real time detection protects live calls and video feeds. Batch detection supports forensics across audio, image, and video. Most enterprises need both. Here is how to decide what to deploy where.
The 2026 deepfake threat landscape
Deepfake attacks across audio, image, and video are scaling faster than defences. This report summarises the 2026 threat landscape and the steps enterprises should take now.
The ones we get asked first
Six answers that settle most of it. The rest are on the full FAQ.