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Default deny

The rule that an agent action requiring a checkpoint does not proceed if the approval infrastructure fails, the approver is unreachable, or no approval policy yet exists for the action, per the framework's own recommendation (MGF v1.5, p.29). The opposite, proceeding on a timeout, converts a checkpoint into a delay rather than a gate.

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)

The rule that an agent action requiring a checkpoint does not proceed if the approval infrastructure fails, the approver is unreachable, or no approval policy yet exists for the action, per the framework's own recommendation (MGF v1.5, p.29). The opposite, proceeding on a timeout, converts a checkpoint into a delay rather than a gate.

Certified AI Governance Professional (CAIGP)

The stance that an agent holds no capability it has not been deliberately granted, so the question for every tool is "is there a reason to grant this," not "is there a reason to withhold it." The opposite, default allow, is granting broad access and restricting later, which is how agents become over-privileged.

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 Default deny 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.

Agentic systems engineeringTechnical Evaluation

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.

Human oversight designGovernance and Oversight

Defines who reviews AI outputs, what they check, when they can override, and how to keep review from becoming a rubber stamp.

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.

“multi agent”“agent orchestration”“tool calling”“model context protocol”“computer use”“ai agents”

Where the frameworks place it: IMDA Model AI Governance Framework for Agentic AI; NIST AI RMF; EU AI Act Article 14; ISO/IEC 42001 Annex A.

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.

Terms it appears with

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