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OWASP Top 10 for LLM Applications

A published, community-maintained list of the top security risks for applications built on large language models (2025 edition), used here as the shared reference for the attack families. Prompt injection (LLM01) sits at the top for the second edition running.

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.

Certified AI Governance Professional (CAIGP)

A published, community-maintained list of the top security risks for applications built on large language models (2025 edition), used here as the shared reference for the attack families. Prompt injection (LLM01) sits at the top for the second edition running.

Certified AI Practitioner: Workplace Foundations

The recognized industry catalog of the most critical security vulnerability classes in systems that use large language models, updated for 2025 by the OWASP Gen AI Security Project; the awareness-level reference behind the Security Awareness Check.

Certified AI Practitioner: Workplace Foundations

A widely used industry catalog of the top security risks for AI applications, in which prompt injection (LLM01) is ranked number one (OWASP Gen AI Security Project, 2025) (see Topic 8.5).

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 Top 10 for LLM Applications 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.

One lesson on this page teach it as a primary outcome.

ROI and value measurement for AIBusiness and Transformation

Builds an honest value model: baseline, measured change, cost, risk, and the projects that should be stopped.

One lesson 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.