More on Injection Attack Detection

(Injection attack syringe image from Imagen 3)

Not too long after I shared my February 7 post on injection attack detection, Biometric Update shared a post of its own, “Veridas introduces new injection attack detection feature for fraud prevention.”

I haven’t mentioned VeriDas much in the Bredemarket blog, but it is one of the 40+ identity firms that are blogging. In Veridas’ case, in English and Spanish.

And of course I referenced VeriDas in my February 7 post when it defined the difference between presentation attack detection and injection attack detection.

Biometric Update played up this difference:

To stay ahead of the curve, Spanish biometrics company Veridas has introduced an advanced injection attack detection capability into its system, to combat the growing threat of synthetic identities and deepfakes…. 

Veridas says that standard fraud detection only focuses on what it sees or hears – for example, face or voice biometrics. So-called Presentation Attack Detection (PAD) looks for fake images, videos and voices. Deepfake detection searches for the telltale artifacts that give away the work of generative AI. 

Neither are monitoring where the feed comes from or whether the device is compromised. 

I can revisit the arguments about whether you should get PAD and…IAD?…from the same vendor, or whether you should get best in-class solutions to address each issue separately.

But they need to be addressed.