The Gold Standard in Inference Governance
Secure the Core of Critical AI Infrastructure
Harden high-stakes decision pipelines, eliminate inference waste, and enforce systemic resilience with device-level governance that integrates seamlessly into your existing operations.
The Fundamental Protocol
The DeBacco Rule
In an era of automated decision-making, systemic risk is not a possibility—it is a certainty. Our governing principle mandates that every AI-integrated infrastructure must possess hard-coded, hardware-level safety layers that operate independently of the inference engine, ensuring global resilience in the event of model failure.
Research Focus
Governing artificial intelligence inference at the device level — before it reaches the cloud, before it reaches the model, and before it can be exploited.
Inference Efficiency
The Inference Governance Module cuts token use, energy, water, and CO² by about 75%. It does this by putting tight rules in place before any inference starts, not after the fact. It has been tested across multiple languages, formats, and device states.
Result: AI runs faster and cheaper while using far fewer physical resources.
Infrastructure Risk
Ungoverned inference is now one of the biggest weak points in enterprise, government, and humanitarian systems. Every ungoverned token is a risk. Every ungoverned context window is a new way in. The Inference Governance Module closes both.
Result: Critical infrastructure becomes measurably harder to attack and easier to trust.
Inference Governance Module Safety Layer
The Inference Governance Module removes the “open space” that advanced surveillance tools need to work. It has been tested against the 10 most serious agent-style threat types: 10 out of 10 tests held, with no breach paths and no cloud dependence.
Result: The attack surface shrinks to near zero, even under top-tier threats.
Mobility Reliability
The Inference Governance Module runs directly on the device, in any environment, with zero cloud dependency. It has delivered a 100% success rate across five global satellite relay tests where the relay window was the only window.
Result: Mobile and remote systems stay reliable even in denied or degraded communications.
Planetary Orbital Relay Station Node - Simulation Environment Alpha
About the Nexus
DeBacco Nexus LLC is the inventor of the Inference Governance Module — the world's first constraint-first artificial intelligence governance architecture. Founded by James L. DeBacco, Marine veteran, licensed social worker, and doctoral candidate at the University of Southern California, DeBacco Nexus exists at the intersection of human transformation methodology and artificial intelligence infrastructure governance. Our mission is simple: everything powered by artificial intelligence runs better, safer, and more efficiently under the Inference Governance Module. Empirically proven. Patent protected. Deployable on any device, in any environment, without cloud dependency.
75%
Reduction in tokens, energy, water, and carbon dioxide across all tests
100%
Mission success rate in planetary satellite relay simulation
10 / 10
Pegasus threat classes structurally defeated — zero breaches
Global Energy Grids
Systemic Finance
Orbital Infrastructure
Get in Touch
Contact: James DeBacco, CEO
Email: contact@debacconexus.ai
Web: debacconexus.ai
Phone: +1 (213) 716-2191
Location: Los Angeles, CA