II.
Topic overview
Reference · livetopic:information-trust-tiers
Information Trust Tiers overview
Information Trust Tiers as a cross-cutting topic - modeling confidence and provenance of graph assertions to distinguish between different levels of reliability. Defines four tiers: authoritative (sourced from vendor documentation, official specs, or first-party APIs), verified (confirmed through automated testing or manual validation), inferred (generated by LLM analysis, cross-referencing, or pattern matching), and unverified (community-contributed, anecdotal, or not yet validated). Enables consumers of graph data to filter by confidence level and prioritize verification of high-impact unverified claims.
Attributes
displayName
Information Trust Tiers
description
Information Trust Tiers as a cross-cutting topic - modeling confidence
and provenance of graph assertions to distinguish between different
levels of reliability. Defines four tiers: authoritative (sourced from
vendor documentation, official specs, or first-party APIs), verified
(confirmed through automated testing or manual validation), inferred
(generated by LLM analysis, cross-referencing, or pattern matching),
and unverified (community-contributed, anecdotal, or not yet validated).
Enables consumers of graph data to filter by confidence level and
prioritize verification of high-impact unverified claims.
Outgoing edges
applies_to2
- domain:software-engineering·DomainSoftware Engineering
- domain:cybersecurity·DomainCybersecurity
Incoming edges
contains2
- domain:cybersecurity·DomainCybersecurity
- domain:software-engineering·DomainSoftware Engineering