Risk tier
The consequence-based ranking assigned to each AI system on the register (for example, low, elevated, high) that determines how much validation, monitoring, and human oversight it earns. Tiered by consequence to a person, not by technical sophistication.
Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Transformation Professional (CATP).
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.
The consequence-based ranking assigned to each AI system on the register (for example, low, elevated, high) that determines how much validation, monitoring, and human oversight it earns. Tiered by consequence to a person, not by technical sophistication.
an informal grading of an agent's likely blast radius, derived from its action-space and autonomy, used to size how much testing investment the agent's deployment actually warrants.
A classification (commonly Tier 1 fast, Tier 2 standard, Tier 3 deep) set by taking the MAXIMUM across impact severity, impact scope, autonomy, and domain sensitivity, which determines a system's review path and time target.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- What to Test · Testing and Red-Teaming, Certified Agentic AI Governance Professional (CAAGP)
- The Governance Operating Model, Speed and Control · Governance and Responsible AI, Certified AI Transformation Professional (CATP)
- Building the Audit-Ready AI Program · Lab: Regulated Industries, Certified AI Transformation Professional (CATP)
Where it shows up at work
A definition is where Risk tier 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.
Designs tests for factuality, robustness, fairness, safety and abuse resistance with rubrics, baselines and thresholds, and says what a score misses.
One lesson on this page teach it as a primary outcome.
Designs decision rights, committees, intake, approval tiers and escalation so routine uses move and consequential uses get reviewed.
One lesson on this page teach it as a primary outcome.
Classifies AI incidents by severity, runs containment, preserves evidence, manages notification, and closes the loop with lessons learned.
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.
- AI Product Manager, responsible product editionneeds it at depth · 3 open postings this week
- AI Security Architectneeds working knowledge · 8 open postings this week
- Chief Technology Officer, AI engineering editionneeds it at depth
- Model Risk Managerneeds it at depth
- AI Evaluation Specialistneeds it at depth · 6 open postings this week
- AI Model Validatorneeds it at depth
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.
Where the frameworks place it: NIST AI RMF MEASURE 1 and 2; NIST AI 600-1; NIST AI RMF GOVERN; ISO/IEC 42001 Clause 5.
One interview question about it
Design the evaluation for a customer-service model before launch. What do you test, against what data, and what result blocks the release?
Asked of candidates for ai evaluation and testing design. 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.
- Model risk, credit risk and quantitative analysis carries it as work you can show: Test design and benchmark selection are the craft.
- A computer science or software engineering degree carries it as a claim to back up: Testing is second nature; AI evaluation design is a new shape of it.
- A data science, statistics or analytics degree carries it as a claim to back up: Evaluation design for a governance decision is a new frame for a known skill.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.