Compliance & Audit
How can I demonstrate to auditors that my agent’s automated decisions align with internal compliance policies?
Present the platform’s verifiable execution record, which cryptographically chains each step and identity bindings—including human-in-the-loop checkpoints—to the agent’s logic and external inputs, proving adherence to the encoded policy. Auditors can replay the record to confirm no steps were skipped or reordered and that execution was deterministic. However, this demonstrates only that the agent followed the defined rules, not that those rules themselves satisfy the compliance policy.
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- Compliance & Audit
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?
Durable execution suspends agents for human input, recording reviewer identity and decisions as signed steps for an unalterable compliance record.
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Can I control where agent state and execution records are stored to comply with data residency requirements?
Region-specific deployment options ensure durable execution state and step payloads remain within geographic boundaries to meet localization mandates.