Deepfake detection

Generative AI is making it easier than ever before to create synthetic images and videos. Secure your business against evolving deepfakes with advanced identity verification technology.

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Industry leaders trust Incode with their AI fraud prevention
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SIXT logo.
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Experian logo.
Rappi logo.
HSBC logo.
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H&R Block logo.
Nu logo.
Scotiabank logo.
Progressive Leasing logo.
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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.

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Difficult to detect
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A costly challenge
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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.

Start shielding against deepfakes today

Transform your defenses to meet emerging, AI-enabled fraud vectors with Incode’s deepfake detection.

How our deepfake detection works

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

Why Incode?

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

Industry-leading liveness detection and identity verification

Incode is an industry leader in identity verification, committed to the highest standards of data protection and security.

Incode leads G2’s Index for Identity Verification with top customer ratings

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Incode’s identity verification system exceeds all expectations.

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Browse the latest Incode insights on deepfakes

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5 min
When Identity Isn't Enough: Solving Fraud in the Age of Deepfakes and AI

Stop identity fraud and deepfake attacks at once. GovFaceMatch and Deepsight close both gaps without added friction or lost conversion.

Ready to build a stronger defense against deepfakes?

Get in touch with the Incode team to evolve your deepfake detection strategy and protect your business.

Contact us

Frequently Asked Questions

Deepfake detection is the process of identifying AI-generated synthetic media — altered videos, images, or audio — used to impersonate real people. In identity verification, it prevents fraudsters from using deepfakes to bypass biometric checks.

AI deepfake detectors analyze visual signals, pixel-level artifacts, temporal inconsistencies, and biological signals (like subtle blood flow patterns in skin) that are absent or distorted in synthetic media. Multi-layer models catch both naive and sophisticated deepfakes.

Deepfake incidents in fintech skyrocketed 700% in 2023, and AI-enabled fraud losses are forecast to rise from $12.3B in 2023 to $40B by 2027. Without deepfake detection, any biometric onboarding or authentication system is vulnerable to impersonation attacks.

Yes. Deepfake detection integrated into biometric re-authentication catches impersonation attempts at login, MFA reset, and password recovery — the most common account takeover vectors exploiting biometric systems.

Leading detection systems cover face swaps, AI-generated synthetic faces, video injection attacks (virtual cameras), and morphed identity documents. Incode's Deepsight platform detects all major categories with a 68x better false-positive rate in identity verification compared to the next-best commercial technology.