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.

Illustration of deepfake detection.
Industry leaders trust Incode with their AI fraud prevention
Citi logo.
Chime logo.
Amazon logo.
TikTok logo.
BetMGM logo.
SIXT logo.
FanDuel logo.
Experian logo.
Rappi logo.
HSBC logo.
PayJoy logo.
Banorte logo.
Equifax logo.
AT&T logo.
H&R Block logo.
Nu logo.
Scotiabank logo.
Progressive Leasing logo.
Wisconsin Department of Transportation seal.
Citi logo.
Chime logo.
Amazon logo.
TikTok logo.
BetMGM logo.
SIXT logo.
FanDuel logo.
Experian logo.
Rappi logo.
HSBC logo.
PayJoy logo.
Banorte logo.
Equifax logo.
AT&T logo.
H&R Block logo.
Nu logo.
Scotiabank logo.
Progressive Leasing logo.
Wisconsin Department of Transportation seal.

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.

Icon representing user scan.
Difficult to detect
Abstract Incode graphic.
Icon representing dollar up.
A costly challenge
Abstract Incode graphic.
Icon representing user alert.
Language limitations & special characters
Abstract Incode graphic.
Icon representing danger.
Reading tricky symbols
Abstract Incode graphic.

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

Gartner-style quadrant chart with Incode placed in the Leaders section.

Incode’s identity verification system exceeds all expectations.

View all reviews

Browse the latest Incode insights on deepfakes

A graphic that reads, “Re-Authentication is the New Know Your Customer (KYC) by Deji Amund, Africa Groth & Strategic Partnership Lead,” with the Incode logo in the top left corner.
3 min
Re-Authentication Is the New Know Your Customer (KYC)

Account takeover is quickly outpacing onboarding fraud. See why re-authentication is becoming the new frontier in continuous identity verification.

A graphic that reads, “Introducing GovFaceMatch,” with the Incode logo in the top left corner.
4 min
Introducing GovFaceMatch: The First Identity Solution to Verify Biometrics Directly Against DMV Records

Incode GovFaceMatch verifies biometrics directly against DMV records, delivering 150x more accurate fraud detection than document-based verification.

A graphic that reads, "Incode Launches GovFaceMatch, the First Solution to Match Biometrics Against US Government Records."
4 min
Incode Launches GovFaceMatch, the First Solution to Match Biometrics Against US Government Records

Incode GovFaceMatch verifies identity against DMV records in real time, delivering 6x faster onboarding and 150x better fraud prevention.

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.