Story · Coinbase Engineering
Part 1/3 Owning Intelligence Series: How Coinbase Built, Evaluated, and Post-Trained a Fraud Agent (Coinbase Engineering)
blog post · Story page
Coinbase layered an LLM risk agent over Onramp's existing model and rules to read recent transaction sequences, since the harder attacks surface across several purchases rather than inside one. An online A/B experiment recorded 30% fewer fraudulent transactions and 22% less fraud value.
In plain words
- Coinbase added an artificial intelligence fraud checker to its existing payment checks.
- It examines recent purchases together to spot attacks that only become clear across several payments.
- Coinbase's experiment recorded 30% fewer fraudulent purchases and 22% less money involved in fraud when the added check was used.
Appeared in
- Claude Code's Bash tool changed 12% of calls carrying code or escapes
Oct 07, 2026 · in the sections
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