Execution-Time Governance is not a policy layer.
Execution-Time Governance is the control point at the moment a system acts.
Most DevOps systems optimize for deployment speed, observability, and recovery.
But they do not control behavior at execution.
This is where failures emerge.
Behavior accumulates over time.
Behavioral AI Governance defines how that accumulation becomes infrastructure.
If governance is not present at execution, systems drift.
This is not model drift.
This is Governance Drift.
Governance Drift occurs when:
- systems act without active decision control
- policies exist but are not enforced at runtime
- behavior accumulates without constraint
Execution-Time Governance ensures:
- decision boundaries exist at execution
- human-in-the-loop authority is preserved
- escalation pathways are defined before failure
Without Execution-Time Governance:
DevOps becomes reactive instead of controlled.
With Execution-Time Governance:
behavior is governed before it becomes irreversible.
Terminology Reference
Behavioral AI Governance
Execution-Time Governance
Governance Drift
Behavioral Accumulation
Canonical Source:
https://github.com/hhidatasettechs-oss/Hollow_House_Standards_Library
DOI System:
https://doi.org/10.5281/zenodo.18615600
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