Define what should trigger a response
Possible triggers include unauthorized data access, harmful automated actions, corrupted retrieval content, exposed credentials, or a sustained change in behavior. A poor answer is not always a security incident, but repeated or consequential failures still need ownership. Define the routes for security, privacy, safety, and product-quality concerns so reports do not get lost between teams.
Preserve the context that explains the event
Useful evidence may include application version, model identifier, prompts where appropriate, retrieved document references, tool calls, authorization decisions, and state changes. Minimize sensitive information and restrict access to evidence. Record times and identifiers so events can be correlated across application and provider logs. Know ahead of time which records your provider makes available.
Contain the capability that is causing harm
Options may include revoking a tool credential, disabling an integration, suspending a retrieval collection, limiting an audience, or returning to a manual process. Select containment based on the incident rather than assuming a prompt update is sufficient. Consider pending jobs, cached information, and actions already taken in other systems.
Recover with a verified change
Identify the failing boundary, correct it, and evaluate the proposed recovery against the incident scenario. Confirm that credentials have been revoked where necessary and affected records restored or corrected. Communicate what is known and what remains uncertain. Notification and reporting duties depend on the circumstances and applicable rules, so involve the relevant owners.
Improve the operating system around AI
After recovery, update the inventory, risk record, tests, runbook, and ownership model as appropriate. Ask whether earlier signals were visible and whether responders could stop the workflow quickly. A useful review produces a small number of assigned improvements with evidence of completion, rather than a long list of lessons nobody implements.
PUT IT INTO PRACTICE
A useful next step
- Choose an AI-specific response scenario.
- Locate logs and define access to evidence.
- Exercise disabling one tool without losing all operations.
- Verify recovery with the original failure scenario.
Keep the result: record the decision, owner, supporting evidence, and the next review trigger.
Go to the source
These links support further learning. The worked example and practical exercise are SyruSec’s own educational interpretation.
