Tune risk detection sensitivity, one policy at a time

Speakeasy has introduced a new feature allowing for per-policy sensitivity tuning in their risk detection system to address the issue of overly broad detection rules that either flag too many false positives or miss genuine threats. Previously, a global confidence threshold applied to all risk policies, limiting flexibility and forcing compromises. The update allows users to set a minimum match confidence score for each policy individually, using a slider in the policy wizard to adjust detection sensitivity according to the specific needs of each policy. This change enables more precise tuning by allowing users to demand higher-confidence matches to reduce noise or accept more false positives to ensure thoroughness, without altering the global default baseline of 0.5. This per-policy sensitivity adjustment is designed to be backward compatible, preventing automatic retuning of existing policies, and can be tested against real data to find the optimal balance between precision and recall.

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