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    Constitutional Classifiers

    AI fundamentals & modelsConstitutional ClassifierConstitution-based security classifiers
    Editorially reviewed on: 1 source
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    The short answer · 25 words

    In short

    An anthropoic security approach, in which classifiers are designed to detect harmful inputs and outputs using natural language rules and training data generated from them.

    Flow-alerta.cab (2026): Constitutional Classifiers. https://flow-alerta.cab/en/glossar/constitutional-classifiers. Editorially reviewed on: 09 October 2026.

    How much detail would you like?

    Practical

    Relevant as an example for defense-in-depth in powerful models and for the separation of base model and runtime protection.

    Hypothetical example: A security classifier checks before and after a model call whether a request or output violates defined high-risk rules.

    Understand as an additional protective layer and combine it with red teaming, monitoring, rights limitation and application-specific controls.

    At a glance

    Core
    Constitutional Classifiers are protection components for model inputs and outputs. The classifiers are trained with synthetic data derived from a so-called constitution with rules on allowed and non-allowed content, and are intended to detect and block jailbreaks, among other things.
    Use
    Relevant as an example for defense-in-depth in powerful models and for the separation of base model and runtime protection.
    Example
    Hypothetical example: A security classifier checks before and after a model call whether a request or output violates defined high-risk rules.
    Limits
    View the classifier as an insurmountable layer of protection; ignore false positives and false negatives; let the constitution and real directive diverge.

    In context

    Questions about this term

    Are Constitutional Classifiers the same as Constitutional AI?

    No.

    What are they checking?

    Model inputs and outputs.

    Can they completely prevent jailbreaks?

    No.

    All details and background

    Constitutional Classifiers are protection components for model inputs and outputs. The classifiers are trained with synthetic data derived from a so-called constitution with rules on allowed and non-allowed content, and are intended to detect and block jailbreaks, among other things.

    ELI5 – Explained simply

    An additional guardian checks prompts and answers against a set set of rules.

    Why it matters in practice

    Relevant as an example for defense-in-depth in powerful models and for the separation of base model and runtime protection.

    Example

    Hypothetical example: A security classifier checks before and after a model call whether a request or output violates defined high-risk rules.

    Pitfalls and limits

    • View the classifier as an insurmountable layer of protection; ignore false positives and false negatives; let the constitution and real directive diverge.

    Origin & history

    Anthropic publicly introduced Constitutional Classifiers 2025 and released a more efficient next generation in early 2026.

    Use in mid-sized companies

    • Understand as an additional protective layer and combine it with red teaming, monitoring, rights limitation and application-specific controls.

    Sources

    Quellenprüfung: 09.10.2026. Definition und dokumentierte Einordnung abgeglichen; Beispiele beschreiben mögliche Anwendungen.

    Editorially reviewed on:

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