DeepSight

Defend against deepfakes from every angle

The threat of AI-generated deepfakes is rising and nearly impossible for humans to detect. Incode Deepsight protects identity verification at every step, blocking impersonation, spoofing, and injection attacks.

Industry leaders trust Incode with their AI fraud prevention

Benefits

Deepfake attacks are increasing faster than legacy defenses can keep up

Generative AI makes deepfakes easy to create, cheap to scale, and nearly impossible for humans or legacy systems to detect.

<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 incidents in 2023.

Source: Deloitte, 2024

What is Deepsight

Protect identity verification journeys end to end

Incode Deepsight is a multi-pronged AI-powered fraud prevention solution that blocks fraud from multiple attack points. By analyzing behavior, devices, cameras, and content in real time, it ensures only real users are verified and fraud is stopped before it succeeds.

Behavior Trust

Flags anomalies in device motion and user behavior that signal bots or scripted fraud.

Device Trust

Detects tampered, emulated, or rooted devices that allow spoofing or injection.

Camera Trust

Blocks virtual cameras and prevents video injection using camera source validation.

Multi-Modal Intelligence

Multi-frame liveness, depth, and motion modalities detect deepfakes and physical spoofs in a captured selfie.

Addressing emerging threats

Get ahead of  evolving fraud

Fraud evolves quickly and strikes from multiple angles. Incode Deepsight responds in real time without adding friction.

Threats to your business:

Deepfakes and physical spoofs that bypass liveness checks

Incode Deepsight:

Detects deepfakes and spoofs through multi-frame liveness

Threats to your business:

Virtual camera and manipulated video feeds

Incode Deepsight:

Identifies virtual camera feeds with camera source validation

Threats to your business:

Devices running in emulators or tampered environments

Incode Deepsight:

Detects tampered devices and emulators with device integrity checks

Threats to your business:

Bots and automation that mimic real users

Incode Deepsight:

Flags automated behavior and high-frequency bot activity in real time

Threats to your business:

Adding new fraud layers can increase friction and overheads

Incode Deepsight:

Provides a frictionless, invisible layer, with no integration changes needed

Threats to your business:

Fraud teams struggle to respond to multi-vector attacks quickly

Incode Deepsight:

Enables real-time fraud analytics across behavior, biometrics, and device layers

Benefits

Why Incode Deepsight

Strengthen defenses

Detect deepfakes, injections, and tampered devices with high accuracy. Deepsight cross-validates multiple signals to stop sophisticated fraud without impacting performance.

Reduce fraud losses

Even one fraud attempt can cause major financial and reputational damage. By analyzing signals in real time, Deepsight blocks costly threats before they succeed.

Activate instantly

Enable enterprise-grade protection without slowing down your team. Deepsight integrates seamlessly with your IDV process and provides automatic updates with zero maintenance.

Our approach

Evolving with Gen 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 Multi-Modal Intelligence uses AI models to verify an image’s depth, frame, and colors, quickly spotting any tell-tale deepfake signs.

These comprehensive behavioral, device, and camera checks ensure that even the most complex Gen AI fraud never passes verification.