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.