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Deepsight is Incode's proprietary deepfake and liveness detection engine. It uses a multi-layer AI model to identify AI-generated faces, video injection attacks, and presentation attacks in real time — validated by Purdue University as the most accurate system in its class.
Recognized by the Industry & our customers
Customers and industry thought leaders trust Incode
Independent studies, customer stories and verified reviews validate the impact of Incode’s technology.
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Validated as the most accurate deepfake detector
“We evaluated nine of the most widely used commercial deepfake detection systems and 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
Ranked as the top-performing system in the benchmark across government, academic, and commercial detectors.
68x
better false-positive rate in Identity Verification than the next-best commercial technology
2.5x
lower false-acceptance rate across all deepfake samples
Incode’s identity verification system exceeds all expectations.
View all reviews
An existential threat
Deepfake attacks are increasing faster than legacy defenses can keep up
Generative AI now makes deepfakes easy to create, cheap to scale, and nearly impossible for humans or traditional systems to detect, creating an existential threat to digital trust.
<1 Minute
Time it takes to generate a convincing deepfake with free AI tools.
Source: MIT Tech Review, 2023
50-59%
Human accuracy in spotting deepfakes, barely better than chance.
Source: Cooke et al., 2024
$47B
Lost to identity fraud by U.S. banking customers in 2024.
Source: AARP/Javelin, 2024
700% Growth
Increase in fintech deepfake incidentsin 2023.
Source: Deloitte, 2024
What is Deepsight
Defend verification journeys against deepfakes from start to finish
Incode Deepsight is a multi-layered fraud detection system that blocks attacks across every critical verification touchpoint. By analyzing behavioral signals, device and camera integrity, the perception layer, and document authenticity in real time, it ensures only real people with real documents are verified, stopping AI-driven identity fraud in its tracks.
Behavioral Layer
Flags anomalies in device motion and user behavior that signal bots or scripted fraud.
Integrity Layer - Device
Detects tampered, emulated, or rooted devices that allow spoofing or injection.
Integrity Layer - Camera
Blocks virtual cameras and prevents video injection using camera source validation.
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Perception Layer
Detects deepfakes by using a large multi-modal AI (video, motion, and depth) and Vision Language Model that identifies document inconsistencies typical of Gen AI tools.
Benefits
Why Incode Deepsight
Proven Deepfake defense system
Detect deepfakes, injections, and tampered devices with the world’s best deepfake detection system – with accuracy independently validated by Purdue University.
Address rapidly evolving threats
Get ahead of accelerating AI-assisted fraud
Fraud evolves quickly and strikes from multiple angles. Deepsight responds in real time, blocking deepfakes at the behavioral, integrity (device, camera), and perception layers (advanced multi-modal AI to liveness detection).
Threats to your business
Deepfakes and physical spoofs that bypass liveness checks
Virtual camera and manipulated video feeds
Devices running in emulators or tampered environments
Bots and automation that mimic real users
Adding new fraud detection layers can increase friction and overheads
Deepsight’s Solution
Detects deepfakes and spoofs with multi-modal analysis across video, motion, and depth.
Identifies virtual camera feeds with camera source validation
Detects tampered devices and emulators with device integrity checks
Flags automated behavior and high-frequency bot activity in real time
Provides frictionless protection, invisible to the end-user and not affecting verification speed
Deepsight’s multi-modal AI
Adapting to fraud at the speed of AI
Deepsight for documents
AI-generated documents are the
next frontier of identity fraud
Generative AI doesn't just create convincing fake faces — it creates convincing synthetic documents. Deepsight for Documents protects the document layer, catching forged IDs, passports, and supporting documents that traditional verification tools miss.
Its AI forgery detection feature identifies documents created or altered by generative AI tools by detecting visual artifacts, font inconsistencies, and layout anomalies invisible to the human eye.
Use cases
Where deepfakes break digital trust
Onboarding
with a Gen AI deepfake
with a Gen AI deepfake
Fraudsters use deepfake selfies and videos to bypass biometric verification.
Account takeover
at the helpdesk
at the helpdesk
Attackers fool helpdesk agents with fake identities or manipulated videos.
Recognized by the Industry & our customers
Customers and industry thought leaders trust Incode
In-house testing against a representative sample of over 1350 deepfakes
68x
better false-positive rate than the next-best commercial technology
10x
surpassing human labelers across every test.
Resources
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