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Understanding Deepfake and Injection Attacks in Identity Systems

Deepfakes and injection-based spoofing attacks are reshaping the identity fraud landscape. As synthetic media becomes more sophisticated, organizations face growing challenges in verifying real users across digital enrollment and authentication workflows.

Learn how to evaluate key technologies to defend against deepfake-driven fraud and see how next-generation liveness detection fits into real-world defense strategies. 

Deepfake

Deepfakes and Injection Attacks:
A New Fraud Frontier

Fraudsters are increasingly using AI-generated or manipulated identity artifacts, such as Deepfake videos and synthetic images, to impersonate real individuals. When combined with injection-based techniques that feed fabricated biometrics inputs directly into systems, these attacks can be difficult to detect with traditional safeguards.

Rather than isolated incidents, these methods represent a broader shift in identity fraud tactics.

Key considerations for Fraud Prevention teams:

Strengthen your defense against Deepfakes with Intelligent Liveness that verifies real users and blocks sophisticated spoofing attacks.

How Intelligent Liveness Helps Defend Against Deepfakes

Intelligent Liveness helps organizations defend against sophisticated spoofing attempts, including synthetic and injection-based attacks, by helping to verify the presence of a live person during biometric capture, while maintaining a seamless experience for legitimate users. 

At its core, an advanced optical analysis technique evaluates the human face, helping distinguish live users from synthetic or replayed media in real time.

With next-generation liveness innovation, organizations can gain: 

See how Intelligent Liveness helps stop deepfake-driven fraud in practice

Understanding the threat is only the beginning. Learn how advanced liveness detection fits into real identity workflows to help defend against deepfake-driven and injection-based spoofing.

Download the Guide

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