ontology

You standardize investigation facts by defining rigid Object Types like Person and Evidence, then mapping them via structured Link Types to enforce evidence-based reasoning and maintain audit-compliant data integrity across multi-platform fraud cases.

Enforcing audit compliance for entity lifecycle actions requires implementing mandatory preconditions and append-only state evolution, which prevents unauthorized or premature state changes like closing cases or sealing evidence.

Linking a suspect to a bank account using transaction evidence without breaking temporal integrity requires creating a Person entity, establishing a HARD relationship supported by the evidence, and relying on automated hook-based validation.

Identity resolution in multi-platform fraud investigations requires an append-only ontology framework to satisfy strict temporal integrity, prevent data overwrites, and ensure every entity state evolution remains traceable for evidence-based reasoning.

Attempting to close a fraud case file before meeting evidence preconditions triggers the action-based workflow to block the operation through automated hook-based validation, preventing premature or unauthorized state changes to the investigation lifecycle.