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Security and audit
How to turn AI policy into operating controls
Policy becomes operational when it drives warnings, masking, blocking, approval, and audit.
2026-06-15 · 7 min read
Classify data before tools
Public, internal, customer, source-code, and highly sensitive data require different handling paths even as tool lists change.
Use graduated responses
Not every risk requires a block. Lower-risk events may warrant a warning, while higher-risk actions may require masking, approval, or blocking.
Audit should improve operations
Audit records should support incident response, policy improvement, and training rather than merely increasing log volume.
Apply the method to your operating environment
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