๊ฐ€์ž… ํ›„ ์ดˆ๋Œ€ ๋งํฌ๋ฅผ ๊ณต์œ ํ•˜๋ฉด ๋™์˜์ƒ ์žฌ์ƒ ๋ฐ ์ดˆ๋Œ€ ๋ณด์ƒ์„ ๋ฐ›์„ ์ˆ˜ ์žˆ์Šต๋‹ˆ๋‹ค.

TRM Labs
@trmlabs
Preventing fraud and financial crime for digital currencies
๊ฐ€์ž… September 2018
151 ํŒ”๋กœ์ž‰ ์ค‘    16.4K ํŒฌ
๐—ช๐—ผ๐—ฟ๐—ธ ๐—ฏ๐—ฒ๐—ต๐—ฎ๐˜ƒ๐—ถ๐—ผ๐—ฟ๐—ฎ๐—น ๐—ฎ๐—น๐—ฒ๐—ฟ๐˜๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐˜†๐—ผ๐˜‚๐—ฟ ๐—”๐—œ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐˜€ ๐Ÿ’ช AI agents connected through TRM MCP can now surface both behavioral and transfer alerts, building on TRM's recent release of Behavioral Monitoring to detect patterns like aggregate transfers to a high-risk category over a defined period. Agents can pull full alert context; investigate the flow of funds; and dismiss, escalate, or reopen alerts with a disposition reason, all logged in the alert's audit trail. This release also enhances agent workflows with portfolio balance in address and entity risk signals; transfer counts and volume over a chosen window; entity names on terminus addresses; and alert filtering by destination address, closed date, and closed reason. The agent gathers and reasons. The analyst makes the call. Learn more ๐Ÿ‘‰
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