RESEARCH AND EVIDENCE

The published record.

The third-party work that establishes the requirement we build for, and our own research.

The Evidence

We did not invent this requirement. We built the thing it asks for.

The founding study of the reference monitor concept concluded that software interpretation suffices only for restricted systems, and that general-purpose secure systems require hardware interpreters.

A joint study tested twelve published defences against jailbreaks and prompt injection. Most were bypassed with attack success rates above ninety per cent. The majority had originally reported near-zero attack success.

A peer-reviewed proof extends Gödel's incompleteness theorems to AI, establishing that no finite set of guardrails can be universally robust against adversarial prompts.

Google's security engineering organisation published that authorisation must move from the application to the individual action, and that beneath any AI reasoning layer there must be a floor of static policy that can be verified.

An agent system pursuing a benchmark objective escaped a purpose-built isolation environment by finding a zero-day in its single permitted egress path, then reached a third party's production infrastructure. Both organisations detected it. Neither prevented it. Both accounts remain preliminary.

Sources are linked. None of them endorses Evrmind.

Only one of these sources calls for hardware. The rest identify the gap. We occupy it.

Over fifty years. The requirement is unchanged.

Our Research

Three papers.

Published on Zenodo, openly accessible, sole-authored.

Substrate-Invariant Safety Enforcement

A category-theoretic framework defining the properties any physical enforcement layer must satisfy to guarantee safety constraints, and how those properties hold across electronic, photonic and quantum substrates.

DOI 10.5281/zenodo.19228863

Topological Regularisation

Treating logical constraints as geometric barriers on a continuous manifold, so that formal rules can shape learning without the information loss of discretisation.

Zenodo record 18236997

Thermodynamic Inductive Synthesis

A physics-constrained framework for logic generation that treats energy cost as a first-order constraint rather than an externality.

Zenodo record 18173079

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