Red teaming, in which testers adversarially challenge | AIGP
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Red teaming, in which testers adversarially challenge: Which activity best fits this goal?

AIGP Understanding How to Govern AI Development Medium

Red teaming adversarially probes a live system to surface unknown ways it can be made to behave harmfully.

The question

A bank runs a deployed generative AI assistant and wants a periodic activity that deliberately probes the system with adversarial prompts to surface unknown ways it can be induced to produce harmful or policy-violating outputs. Which activity best fits this goal?

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  1. Threat modeling, in which the team maps assets and attack paths to anticipate risks during system design.
    Almost right, but threat modeling analyzes potential attack paths conceptually rather than actively probing a live system.
  2. Performance benchmarking, in which the system is scored on accuracy and latency against standard datasets.
    Almost right as an assurance step, but benchmarking measures quality, not adversarial discovery of harmful outputs.
  3. Red teaming, in which testers adversarially challenge the system to expose unanticipated failure modes. ✓
    Red teaming adversarially probes a system to discover unknown harmful behaviors, matching the stated goal.
  4. Access recertification, in which entitlements to the system are reviewed and revalidated on a set cadence.
    Plausible governance control, but it reviews user permissions rather than probing the model's behavior adversarially.
The trap
Equating threat modeling (analytical mapping) with red teaming (active adversarial probing).

How to remember it

Red teaming adversarially probes a live system to surface unknown ways it can be made to behave harmfully.

How many of these would you get right?

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