The rise of deepfakes

Deepfakes are digitally manipulated images and videos created with generative AI. Once a novelty, they are now a serious fraud weapon. With this technology evolving rapidly, many legacy verification systems are struggling to keep up.

Difficult to detect

68% of people cannot distinguish between a real image and a deepfake.

A costly challenge

AI-enabled fraud losses are forecast to surge from $12.3B in 2023 to $40B by 2027.

Language limitations & special characters

An AI deepfake tool can cost under $20/month, and a convincing fake can be generated in just 35 seconds.

Reading tricky symbols

Deepfake incidents in fintech skyrocketed by 700% in 2023 alone.

How fraudsters leverage deepfakes to commit identity fraud

Malicious actors are exploiting the ready availability of AI tools to deceive both individuals and automated systems.

Generating synthetic and deepfaked identities

Fraudsters use generative AI tools to produce realistic images and videos, from face swaps and morphs to entirely fake identities. These synthetic assets are the building blocks of large-scale fraud.

Injecting deepfakes into an IDV flow

Fraudsters deceive identity verification systems with digital attacks that replace genuine camera feeds with manipulated videos or images, simulating legitimate verification to open fraudulent accounts.

How our deepfake detection works

Incode protects against deepfakes with multi-layered defenses that combine AI detection, government database verification, and continuous fraud research.

Preventing injection attacks

Incode stops fraud at the root. Our native SDKs block device emulation and virtual cameras before the capture process even starts.

Detecting deepfake fraud attempts

Advanced AI analyzes biometric and visual signals such as blurriness, iris presentation, light reflection, and texture anomalies to identify synthetic images and videos.

Verifying against the Government System of Record (GSOR)

Incode partners with government identity issuers worldwide to enable deterministic verifications, surpassing traditional methods in accuracy.

Continuous AI fraud research

Our in-house R&D team and Fraud Lab continuously train AI and ML models with real-world data, strengthening detection against the latest deepfake techniques.

Why Incode?

Incode helps your business confidently detect and prevent AI-driven deepfake incidents, so your customers remain protected and your operations secure.

Holistic protection

Every interaction is verified as a real, live person, effectively reducing the risk of sophisticated deepfake attacks.

Unmatched accuracy

Advanced facial recognition and biometric matching deliver higher precision than legacy verification methods, reducing costly false positives.

Multi-layered defense

Verification processes analyze both biometric signals and identification documents, detecting even subtle signs of synthetic manipulation.

Real-time fraud detection

The Incode Fraud Network analyzes millions of data points instantly to stop suspicious activity before it impacts your business.

Frictionless user experience

Incode balances security with speed, enabling seamless onboarding and reducing user drop-offs while maintaining compliance.