How AI Enables Hacking of Biometric Authentication Systems
AI’s rapid development poses risks to biometric authentication systems, enabling hackers to exploit vulnerabilities and gain unauthorized access. Using AI-generated synthetic biometric data and sophisticated spoofing techniques, attackers can deceive systems and compromise security. Adversarial attacks, data reconstruction, and model poisoning further contribute to the hacking potential. To counter these threats, organizations implement robust anti-spoofing measures, employ multimodal biometrics, engage in adversarial training, monitor systems continuously, and adhere to ethical frameworks and regulations. By staying proactive and implementing these safeguards, the integrity and security of biometric authentication systems can be upheld.
