Evidence-driven AI
How models can reason over explicit, current evidence without becoming the source of truth.
RESEARCH DIRECTIONS
Architecture notes, engineering lessons, and careful observations at the intersection of cybersecurity and advanced AI.
How models can reason over explicit, current evidence without becoming the source of truth.
Provenance, bounded routing, honest fallback, and the separation of intelligence from authority.
Designing continuous defensive workflows that remain auditable, reversible, and fail closed.
Governance architecture for increasingly capable cyber models, before capability is activated.
Future articles will carry clear publication and update dates. Research direction is not presented as a finished result.