Prompt-policy comparator
Risky proposal-leakage rows.
Reported in the prompt-policy comparator path. This is a proposal endpoint, not an executed-side-effect measure.
SPQR / runtime evaluation
The reported Aegis result from Runtime Governance for Agentic AI: Action-Boundary Control with Trusted Provenance and Fail-Closed Execution.
Reported sandbox evaluation
Prompt-policy comparator
Reported in the prompt-policy comparator path. This is a proposal endpoint, not an executed-side-effect measure.
Governed sandbox path
Zero observed in the evaluated governed rows. The same path also recorded zero governed mock-tool applications.
Attempted governed decisions
All attempted governed decisions preserved runtime-resolved provenance in this evaluation.
6,300 total rows across 42 tasks, five run families, three conditions and ten repeats per family. Different endpoints must not be presented as a percentage reduction. These results do not establish useful allowed-task completion, universal AI safety or production bypass resistance.
Read the methods and limitations · Review the next evaluation protocol
Study context
The runtime-governance manuscript evaluates five run families, 42 tasks, three conditions and ten repeats per family. That totals 6,300 rows, including 2,100 governed rows. Public source: the runtime-governance preprint linked below.
79 risky prompt-policy comparator-path leakage rows. Leakage refers to risky proposals in the comparator, not the same endpoint as a governed side-effect completion.
Zero governed risky side-effect completions and zero governed mock-tool applications. Trusted runtime-resolved provenance was retained for all 1,832 attempted governed decisions.
The public source is a preprint. This page does not assert journal acceptance or independent replication.
What this result does not establish
The result concerns the evaluated sandbox corpus and governed path. It does not prove the model is intrinsically safe.
Zero governed mock-tool applications does not show legitimate work completing. A stronger comparison must measure utility and false denials.
Direct credentials, bypass paths, tool vulnerabilities, malicious policy changes and recovery behaviour require separate review and testing.
No claim is made that this evaluation would have prevented a particular public incident. Proposal leakage and executed effects must not be collapsed into a “100% reduction” chart.
Read examples as examples
The website’s fictional tenant, policy identifiers, verdicts, sample timings and receipt graphics illustrate the control pattern. The interactive preview is scripted. They are separate from the reported sandbox evaluation above.
One clear next step
Keep the existing safeguards and define what legitimate work, prohibited effects and acceptable cost mean before the run.
One workflow. Defined scope. A decision about fit.