Deterministic rules and AI judgment: how Airlock governs agent actions
Blog post from WorkOS
WorkOS Airlock is presented as a framework for securing AI agents that access company data and perform actions such as sending emails by combining deterministic API-level permissions with runtime content and context evaluation. Fixed rules should govern clearly defined operations, such as allowing draft deletion while blocking deletion of received mail, using default-deny behavior and carefully avoiding overly broad grants. Runtime checks address cases where identical operations differ in risk based on message content or historical context, such as detecting financial data in an email or determining whether a distribution list has previously been used. Fixed denials and approval requirements take precedence over runtime judgment, and failed required evaluations result in denial. The approach recommends controlled testing of both layers, including prohibited operations, sensitive content written in varied formats, configuration changes, and attempted policy overrides, while noting that successful tests cannot guarantee complete detection of disclosures or prompt-injection attacks.
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