Identity fraud is no longer the work of a masked hacker typing furiously in a dark basement. Today, it looks exactly like your everyday customer. Bad actors are holding the right documents, saying the right things, and moving faster than most defenses can react.
From stolen credentials to voice clones and injection attacks, the line between real and fake has vanished. Yet, despite these massive technological shifts, most organizations are still protecting digital identities like it’s 2015. The result? Billions of dollars in fraud losses and a fundamental breakdown in consumer trust.
In a newly released episode of Viewpoint with Dennis Quaid, industry experts explore how the fight against fraud has evolved, and how Veridas is entirely redefining what it means to verify identity.
The Evolution of Fraud: From Artisanal to AI
Fraud has changed drastically over the past 15 years. Simon Marchand, an independent Fraud, Identity & Biometrics Expert, notes in the documentary that fraud used to be “artisanal”. It was limited to physical card skimmers and cloned credit cards.
Today, the danger isn’t just what’s fake, but how it gets into the system. Bad actors are launching coordinated attacks using artificial intelligence at unprecedented speed and scale. They use “presentation attacks” on the front end (like deepfake voices or synthetic faces) and “injection attacks” that bypass the camera entirely, feeding fake data straight into a company’s backend systems.
Because consumers rarely read terms and conditions or conduct due diligence on how their data is governed, a massive amount of personal information is available online to be stolen and traded.
The Trust Dilemma
Trust is a “two-way street”. Brands need to trust that the person logging in is who they say they are, and consumers need to trust that their data won’t be weaponized.
As David Stauffer, US Regional Director at Veridas, explains: “Today, trust starts with identity… Fraud isn’t isolated anymore. It hits across the full customer journey—recycled documents, credential stuffing, account takeovers, bots. And if identity breaks, trust breaks with it”.
The Veridas Approach: Smarter Defense, Not More Friction
Some suggest reverting to passwords and manual checks to fight AI, but fraud thrived under those methods long before AI even appeared. A safer digital future isn’t about adding more frustrating checkpoints; it requires a smarter, real-time defense.
Veridas employs a multi-layered approach that stops relying on single points of failure. True protection means document analysis, facial recognition, and voice biometrics must work together alongside certified liveness detection and injection resistance. When these elements operate in real-time, it separates “security theater from real protection”.
“Biometrics done wrong feels invasive,” the documentary notes. “Biometrics done right feels seamless and intuitive”.
The Privacy Breakthrough: Renewable Biometric References
One of the biggest myths about biometrics is that if your data is compromised, your identity is lost forever. Veridas shatters this misconception with its privacy-first architecture.
They do not store your raw photo or a playable voice template. Instead, Veridas converts your features into a Renewable Biometric Reference—often referred to as a biometric hash. This is a one-time, encrypted, and anonymous representation of your identity.
If a database is ever compromised, this hash means absolutely nothing to an attacker. It cannot be reversed or reused. Even better, the system can simply revoke the exposed reference and record you again to generate a brand new one.
Furthermore, Stauffer dispels the myth that biometrics are inherently biased. Modern algorithms like those built by Veridas consistently outperform humans across race, gender, and age, making them more inclusive and less prone to error. They are also governed by some of the world’s strictest privacy laws, including GDPR, CCPA, and the EU AI Act.
Fighting AI with Adversarial AI
To maintain a staggering 99% accuracy rate, Veridas doesn’t just react to fraud; they anticipate it. Because AI is now accessible to everyone, fraudsters are highly incentivized to beat current algorithms.
In response, Veridas deploys innovation teams that build “AI-powered adversarial models”. By generating their own massive datasets of synthetic information and deepfakes, Veridas industrializes the training of their algorithms, effectively attacking their own systems to stay steps ahead of bad actors.
Unlocking Business Growth
Veridas was originally born out of one of the most highly specialized corners of anti-fraud: securing ID documents and currencies for central banks. Today, they are setting the global standard for biometric security, with over 500 million identity verifications and 50 million secure access events completed across banks, governments, telecommunications, stadiums, and borders.
What truly sets them apart is that they own their entire technology stack. They don’t have to wait for third-party vendors to adapt; they evolve ahead of the threat.
Ultimately, fraud doesn’t just block transactions; it creates hesitation. By verifying identities seamlessly, securely, and at scale, Veridas allows businesses to unlock faster conversions and smarter access.
Real identity. Real trust. Real business impact.
