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<title>Atom Labs - Cognitive Control Plane for Governed AI</title>
<meta name="description" content="Atom Labs builds pre-execution AI governance infrastructure. Authority-Before-Execution. LCAC. ATOM. RIS v1.0. Patent Pending US 63/958,209.">
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<nav>
<div class="nav-logo">
<!-- LOGO: place your logo file in the same folder as index.html and name it logo.png -->
<img src="logo.png" alt="Atom Labs" onerror="this.style.display='none'">
<div class="nav-wordmark">ATOM<span>LABS</span></div>
</div>
<ul class="nav-links">
<li><a href="#framework">Framework</a></li>
<li><a href="#ris">RIS v1.0</a></li>
<li><a href="#research">Research</a></li>
<li><a href="#contact" class="nav-cta">Contact</a></li>
</ul>
</nav>
<div class="hero">
<div class="hero-badge"><div class="dot"></div>Pre-Execution AI Governance - Production Validated</div>
<h1>The <em>Cognitive</em><br>Control Plane</h1>
<p class="hero-desc">
Govern AI reasoning before execution begins.<br>
Not output monitoring. Not prompt filtering.<br>
Authority resolved at the reasoning boundary. Every agent. Every action. Every time.
</p>
<div class="hero-ctas">
<a href="https://ris.atomlabs.app" target="_blank" class="btn btn-primary">Read RIS v1.0 Standard →</a>
<a href="https://researchgate.net/profile/Quinton-Stackfield" target="_blank" class="btn btn-secondary">Published Research</a>
<a href="https://github.com/qstackfield/atomlabs-lcac-framework" target="_blank" class="btn btn-secondary">GitHub</a>
</div>
<div class="patent-strip">
<div class="patent-item">Patent Pending <span>US 63/958,209</span></div>
<div class="patent-item">ORCID <span>0009-0002-7377-4165</span></div>
<div class="patent-item">Standard <span>RIS v1.0 - CC BY 4.0</span></div>
<div class="patent-item">Papers <span>11 Published</span></div>
</div>
</div>
<div class="metrics-row">
<div class="metric">
<div class="metric-val">28<em>–</em>43<em>ms</em></div>
<div class="metric-lbl">Full Round Trip<br>Governance Overhead</div>
</div>
<div class="metric">
<div class="metric-val">100<em>%</em></div>
<div class="metric-lbl">Pre-Execution<br>Authority Resolution</div>
</div>
<div class="metric">
<div class="metric-val"><24<em>hr</em></div>
<div class="metric-lbl">Drift Detection<br>Window</div>
</div>
<div class="metric">
<div class="metric-val">100<em>%</em></div>
<div class="metric-lbl">Audit DAG<br>Completeness</div>
</div>
</div>
<div class="section" id="framework">
<div class="section-label">The Framework</div>
<h2 class="section-title">Zero Trust extended<br>to the cognitive layer</h2>
<p class="section-body">Zero Trust eliminated implicit trust at the network perimeter. The same principle applied one layer deeper requires that no AI reasoning process initiates without explicit pre-execution authorization. The perimeter moved. The framework moved with it.</p>
<div class="fw-grid">
<div class="fw-card">
<div class="fw-num">01 — Principle</div>
<div class="fw-title"><em>Authority</em>-Before-Execution</div>
<div class="fw-body">No reasoning process initiates without explicit pre-execution authorization resolved against current identity, capability, policy, and context. Not prompt filtering. Not output monitoring. Pre-execution governance at the cognitive layer.</div>
</div>
<div class="fw-card">
<div class="fw-num">02 — Enforcement</div>
<div class="fw-title"><em>LCAC</em> - Least-Context Access Control</div>
<div class="fw-body">Operationalizes the ABE principle through runtime enforcement. The permitted context is the minimum of three independent constraints — raw capability, policy allowance, and risk-adjusted ceiling.</div>
<div class="fw-eq">C_allowed = min(C_raw, C_policy, C_risk)</div>
</div>
<div class="fw-card">
<div class="fw-num">03 — Platform</div>
<div class="fw-title"><em>ATOM</em> - Cognitive Control Plane</div>
<div class="fw-body">Enterprise governance infrastructure across nine integrated subsystems: Cognitive Kernel, Provider Runtime, Model Registry, Memory Fabric, Governance Pipeline, Trust & Drift Engine, Agent Runtime, Cluster Manager, Event Ledger.</div>
</div>
<div class="fw-card">
<div class="fw-num">04 — Standard</div>
<div class="fw-title"><em>RIS</em> v1.0 - Reasoning Integrity Standard</div>
<div class="fw-body">The first formal framework for measuring and certifying AI reasoning integrity. Five integrity levels. Six control families. 18 controls. Explicit formulas, conformance thresholds, and a full certification program.</div>
<div class="fw-eq">Composite = 0.30·S + 0.25·K + 0.20·F + 0.15·D + 0.10·V</div>
</div>
</div>
</div>
<hr class="divider">
<div class="section" id="ris">
<div class="section-label">Reasoning Integrity Standard</div>
<h2 class="section-title">Five integrity levels.<br>One formal standard.</h2>
<p class="section-body">RIS v1.0 defines what reasoning integrity means, how it is measured, what constitutes conformance, and how conformance is certified. Designed as a subordinate technical standard to NIST AI RMF, ISO/IEC 42001, and the EU AI Act.</p>
<div class="ris-grid">
<div class="ris-card"><div class="ris-badge">RIS-0</div><div class="ris-name">Uncontrolled</div><div class="ris-range">0.00 - 0.40</div></div>
<div class="ris-card"><div class="ris-badge">RIS-1</div><div class="ris-name">Monitored</div><div class="ris-range">0.41 - 0.60</div></div>
<div class="ris-card"><div class="ris-badge">RIS-2</div><div class="ris-name">Governed</div><div class="ris-range">0.61 - 0.75</div></div>
<div class="ris-card"><div class="ris-badge">RIS-3</div><div class="ris-name">Assured</div><div class="ris-range">0.76 - 0.89</div></div>
<div class="ris-card"><div class="ris-badge">RIS-4</div><div class="ris-name">Safety-Critical</div><div class="ris-range">0.90 - 1.00</div></div>
</div>
</div>
<hr class="divider">
<div class="section" id="research">
<div class="section-label">Published Research</div>
<h2 class="section-title">11 papers.<br>One coherent framework.</h2>
<p class="section-body">The Stackfield (2026) series establishes the theoretical foundation, technical architecture, production validation, and formal measurement standard for pre-execution AI governance.</p>
<div class="papers-list">
<a href="https://doi.org/10.13140/RG.2.2.33692.76163" target="_blank" class="paper"><div class="paper-n">01</div><div class="paper-title">Authority-Before-Execution: A Pre-Authorization Architecture for Enterprise AI Governance</div><div class="paper-arrow">→</div></a>
<a href="https://researchgate.net/profile/Quinton-Stackfield" target="_blank" class="paper"><div class="paper-n">02</div><div class="paper-title">Never Trust, Always Govern: The Zero Trust Parallel for Enterprise AI Governance</div><div class="paper-arrow">→</div></a>
<a href="https://researchgate.net/profile/Quinton-Stackfield" target="_blank" class="paper"><div class="paper-n">03</div><div class="paper-title">The Cognitive Layer: Emergent Attack Surface of Governed AI Systems</div><div class="paper-arrow">→</div></a>
<a href="https://researchgate.net/profile/Quinton-Stackfield" target="_blank" class="paper"><div class="paper-n">04</div><div class="paper-title">ATOM: A Cognitive Control Plane Architecture for Governed AI Execution</div><div class="paper-arrow">→</div></a>
<a href="https://researchgate.net/profile/Quinton-Stackfield" target="_blank" class="paper"><div class="paper-n">05</div><div class="paper-title">VANTA OS: Authority-Before-Execution Governance in a Production Autonomous Capital Intelligence System</div><div class="paper-arrow">→</div></a>
<a href="https://researchgate.net/profile/Quinton-Stackfield" target="_blank" class="paper"><div class="paper-n">06</div><div class="paper-title">Cognitive Security Engineering: A Formal Discipline for the Governed AI Era</div><div class="paper-arrow">→</div></a>
<a href="https://researchgate.net/profile/Quinton-Stackfield" target="_blank" class="paper"><div class="paper-n">07</div><div class="paper-title">ATOM Enterprise Deployment Patterns</div><div class="paper-arrow">→</div></a>
<a href="https://researchgate.net/profile/Quinton-Stackfield" target="_blank" class="paper"><div class="paper-n">08</div><div class="paper-title">Governing AI at the Execution Layer: Regulatory Alignment</div><div class="paper-arrow">→</div></a>
<a href="https://researchgate.net/profile/Quinton-Stackfield" target="_blank" class="paper"><div class="paper-n">09</div><div class="paper-title">ARGUS: Physical Cognitive Security for the Governed AI Era</div><div class="paper-arrow">→</div></a>
<a href="https://doi.org/10.13140/RG.2.2.26911.42407" target="_blank" class="paper"><div class="paper-n">10</div><div class="paper-title">Reasoning Integrity Standard (RIS) v1.0: A Formal Framework for AI Reasoning Stability, Coherence, and Boundary Governance</div><div class="paper-arrow">→</div></a>
<a href="https://researchgate.net/profile/Quinton-Stackfield" target="_blank" class="paper"><div class="paper-n">11</div><div class="paper-title">From Network Perimeters to Reasoning Boundaries: Situating Pre-Execution AI Governance in the Zero Trust Tradition</div><div class="paper-arrow">→</div></a>
</div>
</div>
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<h2>Build on the standard.</h2>
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