September 2026
Intermediate
322 pages
7h 22m
English
Audit mode is comfortable. It produces reports, dashboards, and reassuring conversations about what we will enforce later. Production does not care how many violations we observed if the unsafe resource is still admitted. At some point, a platform team has to decide which rules are understood well enough to block a change, prove that a bad object is denied, prove that a good object still works, and know how to recover when the policy itself is wrong.
In this chapter, we will promote selected AI policies from audit to enforce through GitOps, correlate agent and human actions in Loki, and turn the failures exposed by the live build into contract tests and recovery patterns. We will then ...
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