SOC 2 for AI coding tools: evidence to request

SOC 2 evaluation for AI coding tools should focus on whether a report’s defined system scope actually covers the selected control plane, model services, integrations, and workflow rather than treating a security badge as proof of compliance. Reviews should examine report periods, exceptions, customer responsibilities, and the distinction between an auditor’s attestation and real-world configuration choices such as model routing, regional deployment, repository permissions, execution identities, and network controls. Organizations should map end-to-end data flows, including local file access, prompts, model context, telemetry, session records, diagnostics, and error paths, while separately assessing vendor-operated and customer-operated components. Useful evidence includes current model policies, retention settings, sandboxing and approval controls, and bounded tests conducted in disposable environments, with sensitive session content collected only when necessary. The resulting acceptance record should identify the reviewed service, configuration, unresolved risks, responsible owners, and reevaluation triggers, since changes in model routes, integrations, or deployment ownership can alter the compliance posture.

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