What has been demonstrated
- Structured runtime governance model
- Adversarial scenario testing
- Evidence-centered operating approach
- Explicit boundary conditions and non-claims
Zero-G Engine has the strongest current proof posture where it demonstrates structured runtime governance, adversarial scenario testing, and a disciplined evidence model around bounded behavior, escalation, provenance, and degraded operation.
This page is designed for technical evaluators who need the runtime evidence posture quickly, including what has been demonstrated, what is reviewable, and what has not been claimed.
No sales deck. Architecture-focused. Suitable for technical and program leads.
97% reflects execution-boundary hardening effectiveness as reported in the external-safe summary. It is part of the current proof boundary and should not be read as broad deployment readiness.
The point is not to overstate readiness. The point is to make the current proof posture understandable: what has been demonstrated, what has not been claimed, and how a serious review should move through the material.
The proof should feel organized. A serious review moves from the runtime concept into architecture, test discipline, evidence package, and finally the current evaluation-readiness boundary.
Why the runtime exists and what problem it is meant to solve.
Where bounded control, escalation, provenance, and recovery sit on the live path.
How adversarial scenarios, attack families, and degraded conditions are exercised.
What artifacts, findings, patches, and residual-risk records exist today.
What a serious evaluator can review now, and where current claims still stop.
The runtime has been exercised through a defined assurance chain covering threat modeling, controls, methodology, findings, patches, regression, and residual risk. The point is not universal hardening. The point is disciplined runtime control with visible limits.
These are the behaviors best supported by the current internal evidence package and the external-safe summary. They are stated in the language of runtime mechanics rather than broad compliance theater.
The runtime uses anomaly scoring and thresholded behavior instead of brittle binary allow-or-block logic.
Decision records are cryptographically chained so actions can be replayed, traced, and reviewed later.
The execution boundary has been exercised against injection, exfiltration, credential access, and privilege paths.
Under stress and reduced resources, the runtime changes mode intentionally instead of defaulting to fail-open or fail-silent behavior.
Higher-risk or abnormal conditions can be surfaced for review rather than passing silently through automation.
The evidence tracks behavior across scoring, integrity, recovery, provenance, and execution layers together.
The most useful conversation is short and concrete: where the runtime sits, which behaviors the evidence supports, and what a serious review path would need next.
No sales deck. Architecture-focused. Suitable for technical and program leads.