What evidence artifacts should I gather from an AI agent platform for an audit of automated decision-making?A verifiable execution record provides the core audit artifact, capturing the complete step-by-step lineage including human-in-the-loop approvals and external API calls.How does the platform capture human-in-the-loop interventions for regulated workflows that require manual approval?Human-in-the-loop checkpoints are managed by pausing durable execution at designated steps, awaiting human input while preserving full state.Can I control where agent state and execution records are stored to comply with data residency requirements?Catalyst allows operators to deploy within specific cloud regions, anchoring durable execution state, step records, and payloads to those locations with geo-fencing controls.How long are execution records retained, and can I customize the retention period?Record retention is configurable, allowing organizations to set per-agent or global storage durations that match regulatory requirements.How does the platform support separation of duties between developers, operators, and auditors?The platform offers role-based access controls that separate responsibilities: developers can author agent logic but not alter production records, operators manage infrastructure, and auditors receive read-only access to tamper-evident records, with payload visibility and access logs restricted per role.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.How does Catalyst record the data sources accessed by an agent to provide data lineage for compliance audits?Catalyst provides data lineage by logging all data source accesses during an agent execution, including identifiers and timestamps.Can I configure Catalyst to mandatorily enforce human approval checkpoints for sensitive operations, and how is that auditable?You can configure mandatory human-in-the-loop checkpoints that pause execution until approved.How can I prove to auditors that my agent used only allowed model providers during an execution?Catalyst records the model endpoint used for each inference call.Does Catalyst support exporting execution records to external long-term archival systems for audit retention?Catalyst offers export APIs to transfer execution records to external archival systems, supporting long-term retention and integration with corporate governance tools.How does Catalyst help demonstrate that content safety guardrails were applied to agent outputs during a regulated process?Catalyst logs guardrail checks, recording the rule and assessed content, providing evidence that safety measures were applied during agent runs.What details should I include in an audit package from Catalyst to satisfy a financial services regulator’s review of automated decisions?Prepare a package including verifiable execution records, human approval logs, data lineage traces, and guardrail invocation evidence.How does Catalyst capture the specific justification a human reviewer provides when approving or rejecting an agent action?Catalyst records human reviewer justifications as part of the verifiable execution step when configured with a human-in-the-loop checkpoint.Can I configure real-time alerts for agent actions that deviate from expected compliance boundaries?Yes, by combining Catalyst’s execution observability with external monitoring tools.How does Catalyst protect execution records from unauthorized deletion or modification by privileged users?Catalyst employs a write-once, append-only ledger for execution records, where new steps are cryptographically chained.What mechanisms does Catalyst provide to prove that an agent's decision was based on the freshest data available at the time?Catalyst captures the timestamp and version identifiers of data sources accessed during a step, binding them into the verifiable record.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.How does Catalyst enable an auditor to verify that an agent consistently applied the same compliance rules across many executions?Catalyst’s deterministic replay of signed execution records allows an auditor to re-run the agent’s logic over multiple cases and compare outcomes.How can I prove that an agent only called model endpoints from an approved vendor list during a specific execution?Catalyst creates a verifiable step record for every model invocation, containing the provider URL and a cryptographic hash of the response.How does Catalyst record and make auditable any attempts to inject malicious prompts into an agent?Catalyst captures every prompt exchanged with the model, including system and user inputs, in the cryptographically signed step record.How does Catalyst provide a tamper-evident chain of custody log for execution records?Catalyst structures execution records into a Merkle tree where each leaf is hashed and combined to form a root digest.How can I verify that the agent's runtime permissions were enforced and no unauthorized data access occurred?Catalyst embeds the effective permission set used for each step into the signed step record, including the data scope and identity claims.How does Catalyst enable auditing of key rotation and signing material lifecycle for verifiable records?Catalyst records key rotation events with timestamps and links them to execution records through a key identifier embedded in each step signature.How can I audit changes to an agent's workflow definition over time to ensure compliance history?Catalyst maintains a version history of agent workflow definitions, each identified by a content hash.How does Catalyst provide non-repudiation for human-in-the-loop approvals?Catalyst ensures non-repudiation by binding each human approval to a verifiable step that includes the approver's identity, authenticated timestamp, and optional digital signature.Can I prove that Catalyst only retained the minimum necessary execution data to comply with data minimization?Catalyst supports data minimization compliance by allowing operators to set granular retention policies that delete intermediate step payloads after execution completes.How does Catalyst provide evidence that agents did not transmit sensitive data to unapproved endpoints?Catalyst logs all outbound network calls as verifiable steps within the execution record, capturing destination, protocol, and purpose.How can I verify that two concurrent agent runs operated in isolation without interfering with each other?Catalyst isolates concurrent executions through Dapr's virtual actors, assigning each run a unique, bounded state scope.How can an auditor validate the integrity of the Catalyst execution engine itself?Catalyst's control plane emits signed attestations covering build provenance and runtime integrity, giving auditors a verifiable baseline.How does Catalyst provide an audit trail for changes to compliance guardrail configurations?Catalyst records all modifications to guardrail rules, model-policy bindings, and approval workflows as verifiable events in a tamper-evident configuration ledger.