AI agent telemetry inside private networks

Factory’s guidance on AI agent telemetry emphasizes collecting only the operational evidence needed, distinguishing lower-sensitivity activity metrics from potentially sensitive raw content and approval records. Metrics-only customer exports are enabled by default, while optional content spans may include prompts, files, commands, and tool outputs without automatic redaction, requiring approved collectors and centralized policies. Organizations are advised to secure collector credentials, verify configurations on actual execution accounts, test export failures, and review downstream storage, access, and retention practices. The guidance also recommends deliberately selecting identity granularity, validating exported schemas with non-sensitive samples, and accounting for air-gapped environments where no hosted fallback exists. To assess outcomes rather than mere activity, telemetry should be combined with CI results, source-control history, and reviewer approvals, while cost data should come from appropriate inference or infrastructure sources. Pilot programs should use stable definitions for measures such as accepted changes, validation failures, corrections, and operator intervention to avoid mistaking measurement changes for productivity gains.

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