Definition
Plain language
Of the things a system should have caught, how many it actually caught.
As stated in the literature
The fraction of true positives that a detector successfully identifies; trades off against false-positive rate and is the headline sensitivity metric for attack monitors.
Why it matters: It measures how much a system misses, which is critical for safety monitors where letting a real attack slip through is costly.
For example, if there were 100 spam emails and the filter caught 80 of them, its recall is 80%.
Heard on the show
“It collapses fact recall by sixty-two percentage points.”Episode 023 — Why a Small Agent Confidently Overwrites Memories It Doesn't Understand