Disclosure bypass
Can the agent complete a regulated interaction without a required disclosure or warning?
Red teams test whether an AI system can be made unsafe. RegTeams test whether it can be pushed across a regulatory boundary.
The systematic adversarial testing of an AI system against the laws, regulations, guidance, enforcement expectations, and industry obligations governing its behavior.
An AI system may behave as designed and still create regulatory exposure. RegTeaming converts obligations into concrete scenarios, attacks, expected behavior, and evidence.
RegTeaming connects regulatory intelligence to the AI evaluation lifecycle.
Can the agent complete a regulated interaction without a required disclosure or warning?
Can general information be pushed into regulated advice, diagnosis or recommendation?
Can a user induce behavior allowed elsewhere but prohibited in their actual location?
Do individually acceptable steps combine into a prohibited or unfair outcome?
Can the system avoid, defer or incorrectly route a required human escalation?
Does the system continue applying superseded rules after obligations change?
Use the open RegTeaming method, or commission an assessment of one AI system, workflow and jurisdiction.