Exposure
How easily an attacker could discover a given credential, ranging from low (sealed in a properly access-controlled secrets vault with short-lived tokens) to high (hardcoded in plaintext in a broadly readable location).
Defined in 3 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in AI Data Governance: The Data Chair.
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.
How easily an attacker could discover a given credential, ranging from low (sealed in a properly access-controlled secrets vault with short-lived tokens) to high (hardcoded in plaintext in a broadly readable location).
Any claim in a file that an attacker can challenge and the owner cannot defend. The sum of a file's exposure is its avoidable attack surface. Rebuilding converts exposure into evidence-backed claims or removes it.
The amount of real, hands-on contact a person has had with AI tools; the primary driver of skill, distributed by job, employer, and habit rather than by age.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Cross-Generational AI Communication Norms · AI in the Workplace and Team Leadership, AI Literacy & Professional Conduct
- Service accounts and forgotten keys: the access audit that finds the ghosts · Access and the Keys, AI Data Governance: The Data Chair
- Governance that survives: rebuilding the file so the next attack finds less · Adversarial Governance, AI Governance: Applied Mastery
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.