AI Agent
A system that uses a language model to plan a multi-step task, call external tools or software functions, and act on the results, with limited or no human approval at each individual step, as distinct from a single-response tool that answers one prompt and stops.
Defined in 3 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in The AI Lobbyist: Certified AI Policy Strategist.
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.
A system that takes actions in the world by itself, through tools, to accomplish a goal across multiple steps, without a human required between each decision and its effect. The working definition for this module; a system is acting as an agent to the exact degree that its decisions become effects with no human in between.
A system that uses a language model to plan a multi-step task, call external tools or software functions, and act on the results, with limited or no human approval at each individual step, as distinct from a single-response tool that answers one prompt and stops.
an AI system that plans and executes multi-step tasks autonomously toward a defined goal, using tools, maintaining memory, and making decisions without human approval for each step.
A model that takes actions in the world through tools, not just producing text. The reasoning decides what to do; the tools are how it reaches out and does it. What makes an agent governable, and dangerous, is that its outputs are actions.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Agentic vs. Traditional AI: What Changed · AI Fundamentals, Certified AI Practitioner: Workplace Foundations
- What changes when the AI acts instead of answers: the agent risk model · Agents Under Command, Certified AI Governance Professional (CAIGP)
- Permissioning an agent: tools, budgets, and the actions it may never take alone · Agents Under Command, Certified AI Governance Professional (CAIGP)
- The Emerging Frontier: Agents, Synthetic Data, Edge AI, and What Comes Next · Technical Credibility Deep Dive, The AI Lobbyist: Certified AI Policy Strategist
Where it shows up at work
A definition is where AI Agent 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.
Governs AI agents that take actions: tool access, least privilege, interruptibility, cascading actions and accountability for what an agent did.
3 lessons on this page teach it as a primary outcome.
Understands prompt injection, data poisoning, model theft, insecure integrations and excessive agent privileges, and the controls that reduce each.
2 lessons on this page teach it as a primary outcome.
Redesigns roles as AI absorbs tasks, plans reskilling instead of replacement, and supports managers in honest conversations about how work changes.
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.
- Chief Information Security Officer, AI security focusneeds it at depth
- AI Security Architectneeds it at depth · 8 open postings this week
- Chief Technology Officer, AI engineering editionneeds it at depth
- AI Governance Engineerneeds it at depth · 7 open postings this week
- Agentic AI Engineer, orchestration editionneeds working knowledge
- AI Evaluation Specialistneeds working knowledge · 6 open postings this week
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: IMDA Model AI Governance Framework for Agentic AI; NIST AI RMF; OWASP Top 10 for LLM Applications; Google SAIF.
One interview question about it
An agent can send emails and update records. What may it touch, what needs a human, and how do you prove afterwards what it did?
Asked of candidates for agentic ai controls and authorization boundaries. 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.
- Cybersecurity and IT carries it as a claim to back up: Threat modeling and control design transfer; the AI-specific threats are new.
- A computer science or software engineering degree carries it as a claim to back up: Security fundamentals are a course you took, not yet a control you ran.
- A cybersecurity or information assurance degree carries it as work you can show: Security fundamentals are your coursework and your labs.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.