Allowlist
An enforced list of the only permitted targets for a tool (vendors it may buy from, addresses it may email, records it may touch), so the agent can act only within a pre-approved set. An allowlist turns an open-ended judgment ("only buy what is necessary") into an enforced scope the machinery can check.
Defined in 2 GAGE programs, which carry 3 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 enforced list of the only permitted targets for a tool (vendors it may buy from, addresses it may email, records it may touch), so the agent can act only within a pre-approved set. An allowlist turns an open-ended judgment ("only buy what is necessary") into an enforced scope the machinery can check.
A control that permits only a defined, approved set of commands or actions to execute, blocking or flagging anything not on the list; in Section 3, an allowlist that validated external commands but not certain shell built-ins.
A named list of permitted destinations (recipients, systems, domains) an agent may reach, with everything else blocked by default. An allowlist fails safe: anything you did not consider is blocked. It is preferred over a blocklist, which fails open by allowing anything you forgot to prohibit.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- The Post-Incident Review That Changes a Control · Rollout, Monitoring, and Incident Response, Certified Agentic AI Governance Professional (CAAGP)
- Permissioning an agent: tools, budgets, and the actions it may never take alone · 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)
Where it shows up at work
A definition is where Allowlist 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 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.
Governs AI agents that take actions: tool access, least privilege, interruptibility, cascading actions and accountability for what an agent did.
One lesson 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.
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
- Chief Technology Officer, AI engineering editionneeds it at depth
- AI Governance Engineerneeds it at depth · 7 open postings this week
- 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; OWASP Top 10 for LLM Applications; Google SAIF.
One interview question about it
An agent you built can call five tools. How do you keep a bad plan from becoming a bad action, and how do you test that before launch?
Asked of candidates for agentic systems engineering. 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.