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 7 topics of every program are free with a free account.
- Red-teaming your own system: attacks a motivated user will find · Evaluation and Trust, AI Governance: Applied Mastery
- Accuracy, Robustness, and Cybersecurity (Article 15) · High-Risk AI Requirements: The Technical File, EU AI Act Implementation Expert
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.