Red-teaming
Structured adversarial testing in which a team attempts to break a system's security or reliability controls under realistic attack conditions; a practical method for generating evidence of Article 15(5) cybersecurity compliance by demonstrating that prevention and detection controls hold against active attempts to exploit named threat categories.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in EU AI Act Implementation Expert.
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.
Structured adversarial testing in which a team attempts to break a system's security or reliability controls under realistic attack conditions; a practical method for generating evidence of Article 15(5) cybersecurity compliance by demonstrating that prevention and detection controls hold against active attempts to exploit named threat categories.
The practice of attacking your own system on purpose, before an adversary does, to find the failures a motivated user would find. For an AI system, it means playing the attacker, sweeping the families of attacks, and documenting what breaks, so the failures are found in private with time to fix them rather than in public at launch.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Red-teaming your own system: attacks a motivated user will find · Evaluation and Trust, Certified AI Governance Professional (CAIGP)
- Accuracy, Robustness, and Cybersecurity (Article 15) · High-Risk AI Requirements: The Technical File, EU AI Act Implementation Expert
Where it shows up at work
A definition is where Red-teaming 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.
Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.
One lesson on this page teach it as a primary outcome.
Sets performance metrics, thresholds and review triggers after launch, and treats a model change, a vendor update or new data as a reason to re-check.
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.
- AI Product Manager, responsible product editionneeds it at depth · 3 open postings this week
- AI Risk Managerneeds it at depth · 2 open postings this week
- Cybersecurity Risk Analystneeds working knowledge
- AI Vendor Risk Managerneeds working knowledge
- Chief Privacy Officer, AI privacy editionneeds it at depth
- Chief Risk Officer, AI risk editionneeds it at depth
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: NIST AI RMF MAP and MEASURE; ISO/IEC 42005; EU AI Act Article 27; EU AI Act Article 72.
One interview question about it
Take me through an AI risk and impact assessment you would run for a hiring tool. What do you assess, and who signs?
Asked of candidates for ai risk and impact assessment. 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.
- Privacy and data protection carries it as work you can show: A DPIA is an impact assessment; the AI version adds accuracy, bias and oversight.
- Model risk, credit risk and quantitative analysis carries it as a claim to back up: Performance monitoring thresholds are familiar.
- Cybersecurity and IT carries it as a claim to back up: Threat modeling and control design transfer; the AI-specific threats are new.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.