Skip to main content

OWASP (Open Worldwide Application Security Project)

A nonprofit organization that publishes widely referenced application security standards, including the Top 10 for LLM Applications, which ranks the most critical risk categories for AI systems including prompt injection (LLM01).

Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).

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 AI Data Governance Professional (CADGP)

A nonprofit organization that publishes widely referenced application security standards, including the Top 10 for LLM Applications, which ranks the most critical risk categories for AI systems including prompt injection (LLM01).

Certified Agentic AI Governance Professional (CAAGP)

The organization whose Agentic Security Initiative authored the fifteen-threat taxonomy this and Topic 5.4 teach. The CSA Addendum adopts and reproduces this taxonomy; it is never CSA's own original research.

Certified Agentic AI Governance Professional (CAAGP)

The nonprofit organization, best known for the OWASP Top 10 web-application risks, whose Agentic Security Initiative working group developed the fifteen-threat taxonomy CSA reproduces in Annex A.

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 OWASP (Open Worldwide Application Security Project) 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.

AI security fundamentalsSecurity and Resilience

Understands prompt injection, data poisoning, model theft, insecure integrations and excessive agent privileges, and the controls that reduce each.

3 lessons on this page teach it as a primary outcome.

Shadow AI and data leakage controlSecurity and Resilience

Finds unapproved AI use, sets which tools are approved and what may be pasted, and detects leakage without policing every keystroke.

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.

“ai security”“prompt injection”“data poisoning”“model theft”“llm security”“red team”

Where the frameworks place it: OWASP Top 10 for LLM Applications; Google SAIF; NIST AI RMF MEASURE 2; ISO/IEC 27001 Annex A.

One interview question about it

What are the security failure modes specific to AI systems, and which conventional control covers none of them?

Asked of candidates for ai security fundamentals. 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.

Terms it appears with

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