<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Amir Shachar: Blog</title><description>Writing by Amir Shachar.</description><link>https://amirshachar.com/</link><language>en</language><item><title>Alert budgets, not AUC: judging a fraud model in the units that matter</title><link>https://amirshachar.com/blog/alert-budgets-not-auc/</link><guid isPermaLink="true">https://amirshachar.com/blog/alert-budgets-not-auc/</guid><description>Fraud is rare and review capacity is fixed, so judge a fraud model by the frauds in the alerts a team can open and by the money each decision moves.</description><pubDate>Thu, 12 Nov 2026 12:00:00 GMT</pubDate><category>fraud</category><category>evaluation</category></item><item><title>Fraud rings and mule networks: what a graph adds, and what it cannot decide</title><link>https://amirshachar.com/blog/fraud-rings-and-mule-networks/</link><guid isPermaLink="true">https://amirshachar.com/blog/fraud-rings-and-mule-networks/</guid><description>Ring payments look normal one at a time, so the signal is in shared devices, beneficiaries and timing, and a graph score is a lead to confirm.</description><pubDate>Thu, 12 Nov 2026 12:00:00 GMT</pubDate><category>fraud</category><category>graphs</category><category>mules</category></item><item><title>Propose, then verify: where a language model belongs in a fraud stack</title><link>https://amirshachar.com/blog/propose-then-verify/</link><guid isPermaLink="true">https://amirshachar.com/blog/propose-then-verify/</guid><description>A language model can propose fraud rules and explanations, but a deterministic check, separate from the model, should decide what runs in a payment flow.</description><pubDate>Thu, 12 Nov 2026 12:00:00 GMT</pubDate><category>fraud</category><category>generative-ai</category><category>model-risk</category></item><item><title>The label you get is not the label you need</title><link>https://amirshachar.com/blog/the-label-you-get/</link><guid isPermaLink="true">https://amirshachar.com/blog/the-label-you-get/</guid><description>Fraud labels arrive late and only for transactions someone approved, reviewed or disputed, so training splits and evaluation have to account for that.</description><pubDate>Thu, 12 Nov 2026 12:00:00 GMT</pubDate><category>fraud</category><category>labels</category><category>evaluation</category></item></channel></rss>