INSIGHTS & GUIDES
Practical guidance for containment, evidence preservation, investigation and recovery.
9 guides
Separate response to compromised AI systems from AI-powered SOC and incident-management software. Choose the right service, evidence and procurement questions.
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Compare pausing runs, restricting tools, revoking grants and isolating sources. Preserve evidence and verify queued work before restarting an AI agent.
Read the perspectiveSee how an illustrative AI incident finding separates attempted actions, confirmed changes, impact and uncertainty. Define reporting outputs before commissioning work.
Read the perspectiveOrganise the initial response around authority, observable impact and evidence that may disappear. Avoid treating a model answer as the complete incident record.
Read the perspectiveTrace untrusted content through AI orchestration and connected tools. Separate a malicious instruction, an attempted tool call and a confirmed business-system action.
Read the perspectiveBuild an investigation around records that show what an agent could do, attempted to do and actually did. Know the limits of missing or incomplete traces.
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Investigate a compromised retrieval source without losing the ingestion and version evidence needed to understand exposure and recovery.
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Use evidence to distinguish permission exposure, retrieval into model context and confirmed disclosure when investigating an AI-related data incident.
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Define covered AI services, activation, evidence access and operational authority before treating a retainer as available incident-response support.
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