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    Trust Models

    Application & enablementModels of established trust
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    Definition

    A trust model describes the basis on which participants, systems, or statements are trusted.

    Trust models define assumptions, evidence, and limits of trust. Depending on context, they may concern technical identities, authorizations, or the reliability of an AI system; these meanings should not be mixed.

    Simply explained

    You define whom you trust for which task and for what reasons.

    Why it matters in practice

    Explicit assumptions make visible where additional controls or independent evidence are needed.

    Example from business

    Hypothetical example: A company allows an AI assistant to draft, but requires verified identity and approval for binding changes.

    Limits and pitfalls

    • Familiarity or friendly appearance do not replace evidence. Trust in one task cannot automatically be transferred to other tasks.

    Origin & history

    The term is used in security architectures, distributed systems, and research on human-technology relationships.

    Use in mid-sized companies

    • For important processes, document which entity can verify which statements and where their responsibility ends.

    Frequently asked questions

    Can a system be trustworthy everywhere?

    Trust is tied to the specific use and verifiable properties.

    Sources

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