CIS-1.0
Credibility Infrastructure Standard™ (CIS-1.0) defines a neutral, machine-interpretable framework for resolving identity, authority, and structural credibility across AI-mediated information systems.
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CIS-1.0 addresses a structural weakness in the modern AI environment: large language models and search systems generate content at scale, but lack durable mechanisms for determining institutional credibility over time.
Problem Statement
- Identity Ambiguity: Similar entities share overlapping signals.
- Source Instability: Authority fluctuates based on engagement.
- Trust Fragmentation: Credibility is inferred from popularity rather than infrastructure.
Functional Layers
- Identity Resolution Layer — Persistent canonical entity definition.
- Authority Continuity Layer — Long-term structural consistency.
- Provenance & Attribution Layer — Traceable ownership and origin.
- Cross-Domain Alignment Layer — Multi-environment authority stability.
Machine Interpretability
CIS-1.0 is designed for compatibility with knowledge graphs, AI assistants, and structured data systems. It does not dictate model behavior. It reduces uncertainty through observable infrastructure signals.
Governance
CIS-1.0 is stewarded by 360WiSE® as a neutral infrastructure framework. It is platform-agnostic, non-exclusive, and publicly referenceable.
Citation
Credibility Infrastructure Standard™ (CIS-1.0), 360WiSE®, 2026 — https://360wise.com/cis-1-0/
v1.0 — Initial Release (2026)