Market Signals
Enterprise AI systems increasingly act through delegated authority after approval, creating a governance problem at the moment execution occurs.
Type
Market Signal
Status
Knowledge-base metadata record
Published
2026-07-25
Reading Time
4 min read
01
AI workflows are increasing the distance between the original approval event and the action that eventually occurs.
02
That distance creates a runtime question: was the action still backed by legitimate authority when it executed?
03
AO Integrity treats this as a governance layer that complements identity, authorization, security controls, and observability.
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FW-001
The Missing Runtime Domain in the AI Risk Ecosystem
Defines Execution Governance as the missing runtime domain and frames the central question: was this action authorized at the moment it occurred?
FW-003
The AI Security Playbook
Places Runtime Validation within a layered AI trust stack spanning governance, identity, runtime validation, and security controls.
Framework Commentary
4 min readThe core Runtime Governance question separates legitimate execution from merely permitted access.
Framework Commentary
Open ResourceFramework Commentary
6 min readAutonomous systems force governance to move from human checkpoints and retrospective review toward execution-time validation and independently reviewable evidence.
Framework Commentary
Open ResourceExecutive Brief
3 min readA leadership brief explaining why execution-time authority validation is becoming an enterprise governance capability.
Executive Briefs
Open Resource