Open Arsenal

Infrastructure for interpretive governance.

Zentis is an infrastructure layer for interpretive governance that separates platform policy enforcement from probabilistic legal risk analysis. It is designed to bring structure, transparency, and modularity to how digital systems evaluate content, moving away from opaque moderation decisions and toward explainable, layered assessments.

At its core, Zentis operates through a dual-engine architecture. The Policy Compliance Engine evaluates content against platform-specific terms of service and community guidelines, producing structured violation likelihood scores and recommended moderation actions. In parallel, the Legal Risk Engine analyzes content for potential exposure under applicable legal categories such as defamation, fraud indicators, harassment signals, and privacy risks. These two systems remain intentionally isolated to prevent confusion between private platform rules and public legal frameworks.

Zentis also includes a jurisdiction-aware interpretation layer that contextualizes legal risk modeling based on regional assumptions, defaulting to a United States federal baseline when no jurisdiction is specified. This ensures consistency while preserving flexibility for multi-region deployment. All outputs are probabilistic rather than absolute, emphasizing risk estimation and uncertainty rather than definitive legal conclusions.

To ensure transparency and auditability, Zentis provides an explainability layer that accompanies every output with reasoning traces, confidence scores, and uncertainty indicators. A modular policy pack system allows different platforms or communities to define and version their own governance rules, while the extensible architecture supports integration into larger systems without lock-in.

Overall, Zentis is built as a user-aware, explainable governance framework where interpretation is structured rather than enforced, and where policy and legal signals are clearly distinguished, measurable, and open to inspection.