Research Publications
Technical Volumes & Architectural Specifications
Alignment by Architecture: Safety as a Topological Property of Distributed Cognitive Systems
This document describes a security-and-governance architecture for adversarial multi-agent AI systems. It demonstrates how consistent, auditable behavioral governance can be enforced across a heterogeneous multi-agent collective without retraining the underlying models. The framework formally defines system success through mathematical bounds on epistemic drift and coordination overhead.
Read Paper (Markdown) →The Ingestion-Layer Defense: Infrastructure-Level Indirect Prompt Injection (IPI) Mitigation
An analysis of threat taxonomies and attack surfaces in multi-agent systems, featuring a working defense architecture designed to maintain a clean, bounded, contamination-resistant cognition pipeline in contested edge environments. Focuses heavily on quarantining adversarial context before it achieves lateral spread.
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