With the proliferation of deepfake-driven and AI-generated attacks in the financial services sector, FinVolution has significantly invested in deepfake detection technologies to fight against financial crimes.
"Globally, the technology to detect fake voices is not keeping pace with the technology used to create them. We are pushing for advancements in AI that can detect these fakes, aiming to align these defenses with the capabilities of large-scale model applications," Chen said. "Such efforts are vital for effectively safeguarding the security of public information and individual rights," Lei Chen, vice president of FinVolution and head of its big data and AI division, said.
Next-generation technologies
FinVolution Group developed voiceprint recognition anti-fraud solutions for the financial industry. The voiceprint recognition algorithmic model supports multiple languages, including Indonesian, Chinese, and Spanish. Moreover, the company also built AI anti-fraud technologies, including advanced facial and document forgery detection and voice synthesis algorithms, to prevent illegal impersonation.
FonVolution reported that the technologies accurately identified and intercepted financial fraud activities with a detection accuracy rate of over 98% in Southeast Asian markets.
Industry collaboration
To advance AI deepfake detection development, FinVolution also hosts competitions, supports academic research, and commits to advancing deepfake recognition technologies that prioritise user safety and foster financial environment security.
