From the Xplore Team
Technical deep-dives, industry insights, and research updates from our team building AI governance infrastructure.
Recent articles
Node Resolution: A Principled Approach to AI Agent Governance
How making the graph both the memory and the control surface enables deterministic, explainable outcomes from autonomous AI systems. We explore the theoretical foundations and practical implementation.
Controlling Hallucinations Through Type Gating
Hard type gating, dynamic ontologies, and NER/ER filters as concentric safeguards against AI fabrication.
The Non-Linear Work Problem in AI Orchestration
Why linear chains fail for investigative workflows and how graph orchestration enables branching, looping exploration.
Digital Twins for Border Control: A TRL-4 Validation
Our joint work with Napier University and Interface Scotland on traveler risk assessment with explainable AI.
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