Skip to main content

Named risk

A risk stated using the framework's own vocabulary, drawn from the five negative outcomes (erroneous actions, unauthorised actions, biased or unfair actions, data breaches, disruption to connected systems), the CSA/OWASP Agentic Security Initiative's T1 to T15 threat taxonomy, or a control category's own stated failure mode, rather than an invented label.

Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Certified Agentic AI Governance Professional (CAAGP).

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.

Certified Agentic AI Governance Professional (CAAGP)

A risk stated using the framework's own vocabulary, drawn from the five negative outcomes (erroneous actions, unauthorised actions, biased or unfair actions, data breaches, disruption to connected systems), the CSA/OWASP Agentic Security Initiative's T1 to T15 threat taxonomy, or a control category's own stated failure mode, rather than an invented label.

The AI Lobbyist: Certified AI Policy Strategist

A specific, mechanism-level statement of the strongest argument against a memo's recommendation, written by the memo's own author before a skeptical reader or opposing party can raise it, paired with a stated response showing how the recommendation accounts for it.

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where Named risk starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.

Reads bills and rules like a practitioner, compares options with costs and unintended effects, and writes briefs a decision-maker can act on.

One lesson on this page teach it as a primary outcome.

Roles that hire for it

Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.

How job descriptions say it

Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.

“policy analysis”“policy brief”“white paper”“policy recommendations”“options memo”“policy research”

One interview question about it

Give me the one-page version of a complex AI policy question, written for a decision-maker with ten minutes.

Asked of candidates for policy analysis and decision-ready writing. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.

If you come from another field

Some backgrounds already carry this competency, and the readiness check gives credit for it.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.