Compliance & Audit
How can I demonstrate compliance with data subject access requests by exporting all agent decisions related to a specific individual?
Catalyst’s execution records can be queried by business identifiers such as user ID attached to each run. You can export all executions that involved that ID, including inputs and outputs, in a verifiable format. This demonstrates what automated decisions were made and the data processed. The extraction covers only what the application logs as part of the execution; it cannot reconstruct decisions made outside the platform.
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What evidence artifacts should I gather from an AI agent platform for an audit of automated decision-making?
An AI agent platform provides verifiable step records and identity bindings as foundational audit evidence, though business rule correctness remains external.
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How does the platform capture human-in-the-loop interventions for regulated workflows that require manual approval?
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Can I control where agent state and execution records are stored to comply with data residency requirements?
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