Coinbase AI Agent Cuts Fraud by 30% in Onramp Experiment

Share

Coinbase fine-tuned an open-source AI model (Qwen3.5-9B) on its proprietary transaction data to enhance fraud detection. The experiment conducted on Onramp, which allows users to purchase cryptocurrencies through partner applications, resulted in a 30% reduction in fraudulent transactions and a 22% decrease in their value. The model was tested across 16,140 transactions involving 7,293 users, including 813 confirmed fraudulent transactions. CEO Brian Armstrong stated that specialized models outperform general-purpose models on specific tasks, at lower cost and with reduced latency.

Source: Read the original article

Disclaimer: this content is for information purposes only and is not financial advice. Cryptocurrencies are highly volatile: you may lose all of your capital. Always do your own research. Legal notice
Telemac
Telemachttp://cryptoinfo.ch
Passionné de nouvelles technologies, j’explore l’univers de la blockchain et des cryptomonnaies pour partager l’actualité et les innovations du secteur.

Read More

Items