Red teaming, abuse monitoring and incident response
Securing an AI product does not stop at launch. This lesson helps you organize a campaign to attack your own product, choose the signals that reveal abuse in production and prepare the action plan for the day an incident happens, including who to notify and how to shut the feature off.
Lesson objective
By the end of this lesson, you will be able to plan a red teaming campaign and the adversarial test set that comes out of it, choose the abuse monitoring signals in production, and write the incident runbook of an AI feature, kill switch and notifications included.
Topics covered
- red teaming
- abuse monitoring
- incident response
- runbook
- adversarial testing
In the glossary
Where it fits
Guardrails and security operations
Which guardrails do you specify, how do you know they hold, and what do you do on incident day?
Lessons in this module
- Specify layered, testable and costed guardrails
- Red teaming, abuse monitoring and incident response (this lesson)
What you will learn in this module
This lesson is part of the course Secure an AI product: prompt injection, guardrails and the AI Act
- Specify layered guardrails (input, output, rights, human approval, isolation, limits) with testable criteria and their cost.
- Plan red teaming, abuse monitoring and incident response for an AI feature.
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