behavioral biometrics Archives

The Attack of the Realistic Fraud Bots

Realistic fraud bots are the new threat. The days of obviously spotting a deepfake have long since passed us by.

Pymnts reported on this in “When Fraud Becomes the Customer: The Next Battlefront for Issuers.”

In the past, enterprises defended themselves by analyzing voices (voice identification/speaker recognition and liveness detection), faces (facial recognition and liveness detection), and behaviors (behavioral biometrics).

But what happens when the fraud bots are able to convincingly fake voices, faces, and behaviors?

Or when attempts to detect fraud become so onerous that the real customers run away due to the increased friction?

One expert claims that voice identification is already useless.

“Tim Joslyn, Chief Technology Officer of Paymentology, told PYMNTS Intelligence that voice authentication has already reached the point of vulnerability. In his view, financial institutions that continue to rely heavily on this method could already be exposed. ‘I think voice has already failed,’ he said. ‘If you’re a bank and you’re aligned on voice, then potentially you’re already in trouble.'”

Not sure how the voice biometrics vendors would react to that….Actually, I do know. Here’s what Pindrop says:

“A person’s voice has distinct characteristics that deepfake AI struggles to replicate with 100% accuracy. By focusing on these unique aspects, voice authentication systems can differentiate between real human voices and AI-generated fakes.”

But is it good enough…and will it be good enough in the future?

And if you’re a biometric company, how do you convince your prospects of your solution’s value?

By partnering with a biometric product marketing expert. Find out more about Bredemarket’s capabilities at https://bredemarket.com/watch-book/.

Revised 10/28/2026.

Gait Uniqueness: Gait Does Not Scale Linearly With Speed

Let’s look at another joke that I inserted into my “On The Fly” video, this one specific to gait uniqueness.

We first captured fingers and faces in a stationary way and then captured then on the move. But we always capture gait on the move. So to fit into the pattern of my video, I captured gait on the move—just faster.

Gait uniqueness, if true, does not scale with velocity. — Google Gemini.

But you don’t have to be a doctor to recognize the fallacy of my assumption. While gait is a behavioral biometric, it is influenced by a person’s muscular structure. The muscles you use when you walk differ from the muscles you use when you run. Or, as my buddy Google Gemini worded it, “Dynamic features—such as continuous joint angles (hip, knee, ankle) and vertical center-of-mass oscillations—do not scale linearly with velocity.”

And of course we return to the problem with nearly all biometrics: are gaits unique to every individual? It makes sense that they are, since everyone has an individualized bone structure, coupled with a specific body history (broken legs and the like). But that doesn’t prove gait uniqueness…or for that matter fingerprint uniqueness. (Probably out of scope for Judge Carmen Messano’s efforts, but we still need to bear this in mind.)

Now there are studies of gait recognition, but none encompass billions of people. Gait Recognition in the Wild (GREW) includes 26,000 identities and 128,000 sequences. But even if we DID have multiple billions of gait samples, it only requires a single case of two people having the exact same gait to disprove the theory of gait uniqueness.

And fingers and faces don’t change with velocity.

Now I’ll admit that gait isn’t one of my biometric specialties like finger, face, iris, voice, and DNA. But I’m familiar enough with the modality that I can help you create relevant content, proposal, and analysis material.

I’m a CPA, not a CPA. Revised 10/28/2026.

Visit https://bredemarket.com/watch-book/ to learn how Bredemarket can help your biometric firm.

Hammering Imposter Fraud

(Imagen 3)

If you sell hammers, then hammers are the solution to everything, including tooth decay.

I previously wrote about the nearly $3 billion lost to imposter fraud in the United States in 2024.

But how do you mitigate it?

“Advanced, contextual fraud prevention” firm ThreatMark has the answer:

“As impersonation scams use a wide range of fraudulent methods, they require a comprehensive approach to detection and prevention. One of the most efficient in this regard is behavioral intelligence. Its advantages lie mainly in its ability to detect both authorized and unauthorized fraud in real time across all digital channels, based on a variety of signals.”

Perhaps.