Agent
An AI system that takes actions in the world toward a goal, typically in a loop and with some autonomy, rather than only producing an output and waiting. Because an agent acts (sends, moves, deletes, calls other systems) faster than a human can review each step, it is the class of system for which a scoped deployment, containment, and a tested kill switch are essential rather than optional.
Defined in 3 GAGE programs, which carry 5 distinct definitions of it. The wording above is taught in Certified AI Governance Professional (CAIGP).
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 AI system that takes actions in the world toward a goal, typically in a loop and with some autonomy, rather than only producing an output and waiting. Because an agent acts (sends, moves, deletes, calls other systems) faster than a human can review each step, it is the class of system for which a scoped deployment, containment, and a tested kill switch are essential rather than optional.
A system that plans a multi-step approach toward a goal, chooses and calls tools, connects to other systems and agents through defined protocols, and executes real actions, not merely descriptions of actions. Defined by the framework through eight core components: model, instructions, memory, planning and reasoning, tools, protocols, controls, and logging and monitoring.
A system that plans its own steps, uses tools to act on other systems, or runs without a person in the loop. The word is used for all three and the governance profile differs for each, so establish which is meant before anything else.
an AI system that can perceive, reason, and act toward a goal, distinguished from a chatbot by its ability to take actions, not just produce text. (see Topic 0.2)
An AI system that takes actions in the world (calls tools, changes records, moves money, sends messages) rather than only producing text for a human to act on. The action, not the intelligence, is what makes logging it a governance duty.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- What an Agent Actually Is · Taking the Controls, Certified Agentic AI Governance Professional (CAAGP)
- The Eight Components I · The Agent, Deconstructed, Certified Agentic AI Governance Professional (CAAGP)
- The agent audit trail: logging actions so you can reconstruct any decision it made · Agents Under Command, Certified AI Governance Professional (CAIGP)
- You deploy an agent: scoping, containment, and the kill switch you test before launch · Agents Under Command, Certified AI Governance Professional (CAIGP)
- AI systems and the enterprise landscape · AI Governance, AI Risk, AI Security, and AI Assurance, Certified Enterprise Governance, Risk and Compliance Professional (CEGP)
Where it shows up at work
A definition is where 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.
2 lessons on this page teach it as a primary outcome.
Designs multi step agent systems: orchestration graphs, tool contracts, memory, interruptibility, and the evaluation of agent behavior before it is allowed to act.
2 lessons on this page teach it as a primary outcome.
Collects, labels and preserves the evidence that a control operated, a decision was made, and a claim can be defended to an auditor or regulator.
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.
- Agentic AI Engineer, orchestration editionneeds it at depth
- Chief Information Security Officer, AI security focusneeds it at depth
- AI Security Architectneeds it at depth · 8 open postings this week
- AI Governance Engineerneeds working knowledge · 7 open postings this week
- Chief Technology Officer, AI engineering editionneeds working knowledge
- VP of AI Governance and Ethicsneeds working knowledge
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; EU AI Act Articles 11 and 12; ISO/IEC 42001 Clause 7.5.
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.
- Compliance and regulatory affairs carries it as work you can show: Audit-ready documentation is what you produce.
- Internal audit and IT audit carries it as work you can show: Evidence evaluation is the profession.
- Project and program management carries it as a claim to back up: Decision logs and repositories are familiar.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.