Near miss
An incident in which a resident recognized and stopped a scam attempt before any money or information was actually lost. A near miss, documented with the same five-element standard as a completed loss, carries real early-warning value for identifying scam patterns actively targeting a facility's residents.
Defined in 4 GAGE programs, which carry 6 distinct definitions of it. The wording above is taught in Senior AI Scam Defense.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
An event in which a hazard occurred but was caught, contained, or otherwise prevented from causing actual harm, such as a robot's obstacle sensor stopping the robot just short of a person who stepped into its path. A near miss is direct evidence that a safeguard functioned; treating it as valuable data rather than an embarrassment encourages the reporting that surfaces design gaps before they cause real harm.
An incident in which a resident recognized and stopped a scam attempt before any money or information was actually lost. A near miss, documented with the same five-element standard as a completed loss, carries real early-warning value for identifying scam patterns actively targeting a facility's residents.
An event that almost caused a data incident but was caught or self-corrected before real harm occurred. Treated in this topic as data as valuable as an actual incident, since it reveals the same underlying gap without the cost of a real one.
An incident in which a checkpoint, control, or human intervention stopped a harmful action before it executed. A near miss still requires a severity tier and a log entry, because it is direct evidence the underlying risk is real.
An event in which the same latent conditions and, often, the same active trigger present in a genuine incident occurred, but no harmful outcome resulted, whether by chance, timing, or a partial safeguard; classified using the same four-category framework as an actual incident because it carries the same diagnostic information.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Incident Severity · Rollout, Monitoring, and Incident Response, Agentic AI Governance: Applied Mastery
- The post-incident review: fixing the estate, not blaming the intern · Data Incidents, AI Data Governance: The Data Chair
- Filing at IC3.gov and ReportFraud.ftc.gov, and What Happens Next · The First 24 Hours, Senior AI Scam Defense
- Documentation standards, and what happens after a report · CSFDP: Threat Command and Reporting Law, Senior AI Scam Defense
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.