In securing companies against deepfake and AI-driven attacks, traditional biometrics like facial recognition and voice verification are proving insufficient. Though these methods have long provided an essential layer of security in Know You Customer workflows and other applications, they are now vulnerable to advanced AI manipulations that can replicate, fake, or mimic personal identifiers with unsettling accuracy.
Voice Recognition is a New Target for AI Forgeries
Recent advances in AI voice synthesis can flawlessly replicate a person’s vocal patterns, pitch, and tone, making it possible to mimic voices with a degree of authenticity that was unimaginable just a few years ago. This advancement threatens the integrity of all voice-based biometric verification, at a time when 37% of businesses have already faced voice-based deepfake fraud attempts. AI-generated voice deepfakes are now regularly deployed by scammers in a wave of attacks against contact centers of financial institutions, healthcare providers, and government agencies, threatening to bypass voice verification to breach accounts and initiate fraudulent transactions.
In other high-stakes fraud cases, attackers replicate the voices of executives or other trusted individuals to bypass internal security measures. With a few-second sample of the target’s voice, attackers utilize easily accessible AI tools to clone the audio and exploit any systems that rely on voice as a biometric marker.
The Vulnerability of Facial Recognition to Deepfakes
Facial recognition has become a popular form of biometric authentication, but its reliance on static data makes it particularly susceptible to AI attacks. Deepfake technology can create hyper-realistic images and videos of individuals, reproducing their faces down to the smallest detail. This can allow hackers to bypass facial recognition systems by injecting AI-generated images and video that mimic the face of an authorized user.
With high resolution photos and publicly available media, attackers generate realistic fake identities to deceive many traditional systems. As a result, what was once a solid barrier to unauthorized access now shows cracks when confronted by the seamless illusions created by deepfakes. While an estimated 42.5% of detected fraud attempts are now fueled by AI, and with 29% of such attacks being successful, industries face an unprecedented security gap as AI threatens to make expensive face recognition systems obsolete.
Verification Bolstered by Real-Time, Scalable Detection Solutions
Reality Defender’s award-winning deepfake detection provides a powerful enhancement to traditional biometrics, helping to counter sophisticated AI-driven attacks. By integrating Reality Defender into call centers, web conferencing platforms, and other critical communications portals, organizations can fortify biometric systems with dynamic, platform-agnostic tools that harness the power of AI to detect the malicious misuse of AI.
Reality Defender strengthens voice recognition by applying a multi-modal approach and identifying artifacts common in AI-synthesized voices. This essential layer of detection reinforces identity verification, especially as voice cloning tools become more accessible. To secure facial recognition systems vulnerable to deepfakes, our detection models scan for all and any inconsistencies left behind by AI manipulation, reliably flagging synthetic images and video that could bypass standard checks.
With Reality Defender’s scalable solutions, biometrics become more adaptive, allowing security measures to evolve alongside deepfake threats. This integration not only bolsters the reliability of biometric authentication but also future-proofs organizations against rapidly advancing synthetic media, providing a cutting-edge defense in today’s high-risk digital environment.
To explore how Reality Defender can reinforce your biometric verification systems, contact us today.
