The digital injection of synthetic imagery – otherwise known as deepfakes – is now the top threat to facial biometric systems. It is imperative to note that not all liveness providers are able to detect these attacks, nor are there benchmark testing or accreditations for digital injection attacks. Presentation Attack Detection (PAD) doesn’t equal Digital Injection Attack (DIA) resilience, which is crucial in order to thwart this rapidly growing threat vector.
The implications of threat actors exploiting this gap are real: financial loss, fines, reputational damage, unwanted media scrutiny – to name a few.
To mitigate these risks and outpace the evolving threat landscape, understanding the threat vectors of injected synthetic imagery (deepfakes) is vital.
This report looks at:
- The rising demand for remote onboarding and the efficacy of current identity solutions;
- Increased adoption of biometric face verification;
- The difference between presented and injected deepfakes;
- How digitally injected deepfakes scale;
- • Why not all liveness solutions are equipped to detect injected deepfakes.