FARx, the world’s only fused-biometrics company, has launched the latest version of its software to help organizations stay ahead of AI-powered voice fraud. Advanced text-to-speech and voice cloning tools can now mimic human speech so convincingly that they are indistinguishable to the human listener, and legacy voice biometrics designed to authenticate human voices are unable to detect the difference.
Recent data reveals a sharp rise in AI-related fraud, with 35% of UK businesses targeted by these attacks, compared to 23% in 2024. This surge is driven by increasingly sophisticated tactics, including social engineering and identity theft, deepfakes, voice cloning and synthetic identities. All threats that traditional multi-factor authentication and older voice biometrics solutions cannot reliably combat.
FARx’s next generation of biometrics software
In fact, OpenAI CEO Sam Altman recently warned that AI has “fully defeated” voice biometric authentication, calling it a “crazy” choice for financial institutions relying on it for security. Instead, he stressed that new verification methods are essential to protect against this next wave of fraud.
FARx’s next generation of biometrics software, which fuses speaker, speech and face recognition, introduces expanded capabilities for synthetic and cloned voice detection. Trained on 55,000 synthetic voices from real telephony environments, it can reliably distinguish between real and AI-generated voices.
Identity using synthetic voices
Unlike traditional voice user interfaces, FARx 2.0 identifies not just what is being said but who is speaking, enabling it to detect and block attempts to spoof someone’s identity using synthetic voices, deepfakes, or cloned audio and video. This is also useful when onboarding new customers to ensure they are not fake or synthetic identities.
FARx 2.0 can be integrated seamlessly into browsers, apps and existing communications systems to deliver continuous, frictionless multi-factor authentication. Operating in the background, it learns each user to detect subtle biometric shifts, such as emotion, tone, or behavior. It can also continuously verify identity without disrupting the user experience and capture biometric data from suspected fraudsters.
Early-stage innovative startups
FARx 2.0 also supports Interactive Voice Response (IVR) telephony systems, for in-call synthetic and cloned voice detection across call centers, helpdesks and services desks; as well as video conferencing platforms for real time deepfake detection.
The announcement comes just two months after FARx secured £250,000 of seed investment, aided by the Seed Enterprise Investment Scheme (SEIS) – a UK Government initiative providing tax relief to investors who fund small, early-stage innovative startups.
New era of AI-powered threats
Clive Summerfield, CEO of FARx said: “This latest iteration of FARx is something we have been working on for a while now, with the aim to deliver an even more sophisticated, flexible biometric multi-factor authentication technology to users across a broad range of industries and applications. Receiving the investment through the SEIS has allowed us to do this at an even greater pace, speeding up the development and delivery of FARx 2.0 to those who need it most."
“In recent months, we have seen in real time, perhaps more than ever before, the true impact of social engineering. Data is already showing an increase in the use of AI for fraud and ID theft; as technology and AI develop, this kind of attack will only become more regular. Legacy voice biometrics and traditional MFA systems are simply no longer enough to outsmart the new era of AI-powered threats."
Real-world AI-threat scenarios
Summerfield added: “Through further research and development, and the expansion of our integration capabilities, FARx 2.0 offers an even broader spectrum of security."
"Not only is it built on our patented AI biometric technology – which continuously learns and knows you, becoming stronger the more it is used – it is trained on tens of thousands of real-world AI-threat scenarios like deepfakes and synthetic voices. The result is a far more tailored approach to MFA security, built to combat both current and future threat landscapes.”