Camera and device integrity
Blocks virtual cameras and prevents video injection with camera source validation, and detects tampered, emulated, or rooted devices.
Deepfake defense
Stop deepfakes at every identity moment
Generative AI fakes faces, documents, and camera feeds. Confirm a real, live person on a real camera and untampered device, at every moment that matters.
The problem
Deepfakes are scaling faster than legacy defenses
Generative AI makes deepfakes cheap to create, easy to scale, and nearly impossible for humans or traditional systems to catch.
<1 min
to generate a convincing deepfake with free AI tools
MIT Technology Review, 2023
0%
growth in fintech deepfake incidents in a single year
Deloitte, 2024
50-59%
human accuracy spotting deepfakes, barely better than chance
Cooke et al., 2024
$0B
lost to identity fraud by U.S. banking customers in 2024
AARP / Javelin, 2024
How it works
Four checks between a deepfake and a yes
The foundation
Three defense layers screen every capture
No single algorithm stops synthetic media. Deepsight layers perception, integrity, and document defense into one engine, orchestrated to run wherever risk lives.
Explore the platformDeepfake and synthetic media detection
A multi-modal AI reads video, motion, and depth, and a vision language model catches the artifacts Gen AI leaves on synthetic media.
Learn moreDocument forgery defense
Deepsight for Documents catches the forged IDs, passports, and supporting documents that traditional verification tools miss.
Where it applies
One defense, every identity moment
Fraudsters aim deepfakes at the moments that matter most. Deepsight runs invisibly inside each: a real customer sails through, a synthetic one is stopped.
Onboarding
Fraudsters use deepfake selfies and injected video to open accounts at scale.
Account access
Imposters use stolen IDs, deepfakes, or prerecorded videos to get in.
Helpdesk and agents
Attackers fool support agents with fake identities and manipulated video.
Bot-driven attacks
Bots flood verification systems with activity that simulates real users.
Workforce and hiring
Remote candidates use stand-in faces and deepfakes to pass hiring checks.
Document fraud
Generative tools forge IDs, passports, and supporting documents at scale.
Products
The products behind deepfake defense
Every check in the flow draws on one integrated identity stack.
Verified proof
Global banks, fintechs, and marketplaces run deepfake defense on Incode.
68x
better false-positive rate than the next-best commercial deepfake detector.
8.8x
more document fraud caught than a document check alone
10x
more accurate than human labelers in every test
24
detection systems benchmarked by Purdue
What customers say
“We evaluated nine of the most widely used commercial deepfake detection systems. We found that Incode's detector achieved the highest accuracy in identifying fake samples, yielding the lowest false acceptance rate.”
Shu Hu · Assistant Professor & Director, Purdue Machine Learning Lab
What is deepfake defense?
The set of checks that stop AI-generated media, deepfake selfies, injected video, and synthetic documents, from passing identity verification. Incode screens every capture in real time, confirming a real, live person on a real camera and untampered device.
What is a video injection attack?
A video injection attack routes a prerecorded or AI-generated feed into a verification flow through a virtual camera driver, bypassing liveness checks that only analyze the picture. Incode detects injection at the signal level, not just the visual level, and blocks virtual cameras before capture begins.
Why isn't liveness detection enough on its own?
Liveness confirms a real, physically present person rather than a photo or replay. But modern deepfakes and injection attacks can fool liveness that only inspects the image. Deepsight adds device, camera, and behavioral integrity on top of perception, closing the gaps a liveness check alone leaves open.
Can Incode catch AI-generated documents?
Yes. Deepsight for Documents identifies documents created or altered by generative tools through visual artifacts, font inconsistencies, and layout anomalies invisible to the human eye, catching 8.8x more document fraud than a document check alone.
How accurate is Incode's deepfake detection?
Benchmarked by Purdue University against the most widely used commercial detectors, Incode achieved the highest accuracy and the lowest false-acceptance rate. In production it delivers a 68x better false-positive rate than the next-best commercial technology, operating in milliseconds.
What's next
Stop deepfakes before they start
See Deepsight screen deepfakes, injection, and synthetic media on your own flows.