What is Precision vs recall? Definition and why it matters
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Precision is valid findings divided by all findings reported; recall is known bugs found divided by all known bugs. A useful evaluation reports both.

Detail: Sherlock AI's controlled study reports 55 percent precision; Nethermind reports 30 percent average recall on real audits. Neither number alone tells you whether a tool is worth running; together they tell you how much triage a given amount of coverage costs.

Source page: https://agentsast.com/glossary/precision-vs-recall/
Compiled by: agentsast editors (https://agentsast.com/about/)
Last reviewed: 2026-09-13