Missing authority boundary
Many incidents occur because generated intent can reach tools before a policy gate evaluates whether the action is authorized.
Governance Failure Radar
Documenting and analyzing public AI governance failures.
The Radar turns incidents into prevention models. For each public failure, ExecLayer identifies what happened, why the controls failed, and where deterministic runtime governance would have blocked or escalated the action.
Incident Structure
What happenedPublic incident documentation
Root causeWhy existing controls failed
Prevention modelHow deterministic runtime control would prevent recurrence
What the Radar Measures
Unverifiable governance
Logs may describe a failure, but they rarely prove the policy state, decision path, and authorization result for each action.
Escalation failure
Human oversight often becomes a dashboard review after the fact instead of a runtime escalation requirement before high-risk execution.
Evidence gap
Without signed receipts, organizations cannot show that a specific AI decision passed the required governance checks.
From Failure Analysis to Measurement
The Radar is the incident side of the same thesis behind the Agentic Governance Benchmark: governance has to be measured at runtime, not described in policy language after the system has already acted.