Deepsight
The world’s most accurate deepfake detection system
Deepsight protects organizations from deepfakes, AI-driven impersonation, camera injections, and device tampering with unmatched accuracy – because when identity can be faked, everything breaks.
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.
1.4M
real-world sessions
10K+
deepfakes per month blocked
1.75%
additional deepfake fraud identified
Validated as the most
accurate deepfake detector
2.5x
lower false-acceptance rate across all deepfake samples
“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
"Our work with Incode brings their Deepsight deepfake detection directly into Experian’s identity and fraud solutions, giving our clients market-leading protection and keeping them one step ahead of AI-powered attacks.”
Keir Breitenfeld
SVP Identity & Fraud
Experian
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
$47B
Lost to identity fraud by U.S. banking customers in 2024.
Source: AARP/Javelin, 2024
50-59%
Human accuracy in spotting deepfakes, barely better than chance.
Source: Cooke et al., 2024
700% Growth
Increase in fintech deepfake incidents
in 2023.
Source: Deloitte, 2024
What is Deepsight
Defend verification journeys against deepfakes from start to finish
Incode Deepsight is a multi-layered deepfake detection system that blocks fraud across multiple key attack points. By analyzing the behavioral, device and camera integrity, as well as the perception layers in real time, it ensures only real users are verified – stopping AI-driven impersonation 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.
Perception Layer
Using a world-class, multi-modal AI that examines thousands of data points across multiple frames, motion, and depth data to detect deepfakes and physical spoofs in the captured selfie.
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.
Protects against financial losses
Even a single attack can cause major financial and reputational damage. Using a multi-modal AI to stop sophisticated AI-fraud without impacting performance, Deepsight blocks costly threats before they succeed.
Instant activation, zero maintenance
Enable enterprise-grade protection without slowing down your team. Deepsight integrates seamlessly with your IDV process and provides automatic updates through the Incode Trust Platform.
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
As Gen AI deepfakes become more convincing, a layered approach is critical.
Incode Deepsight doesn’t rely on a single algorithm to detect fraud. It analyzes and secures multiple entry points commonly targeted by fraudsters, assessing risk signals in real time.
Deepsight’s Perception Layer uses a multi-modal AI model to analyze depth, motion, and visual consistency across multiple frames, quickly spotting tell-tale signs of deepfakes.
These comprehensive layers monitoring behavior, device and camera as well as captured perception data ensure that even the most complex Gen AI fraud never passes verification.
Use cases
Where deepfakes break digital trust
Onboarding
with a Gen AI deepfake
Fraudsters use deepfake selfies and videos to bypass biometric verification.
Account takeover
at the helpdesk
Attackers fool helpdesk agents with fake identities or manipulated videos.
Accessing
confidential data
Imposters use stolen IDs, deepfakes, or prerecorded videos to access accounts.
Bot-driven attacks
on IDV processes
Bots overwhelm IDV systems by flooding them with activity and simulating real users.
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.
Deepfake resources
Check out the latest Incode insights on deepfakes and Gen AI
5 min
Incode Deepsight is the world’s most accurate deepfake detection system. It detects deepfakes and injection attacks without adding friction.
5 min
Deepsight is a breakthrough AI defense that detects and blocks deepfakes, injected virtual cameras, and synthetic identity attacks with unmatched accuracy.
5 min
Purdue University’s real-world benchmark validates Incode Deepsight as a best-in-class deepfake detection system, with industry-leading accuracy and low FAR.
Get in touch
Protect your business from AI-powered fraud and deepfakes
Trial Incode Deepsight today to evolve your identity verification.
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