Screen for offensive, harmful, or inappropriate content using safety filters.
Screens generated or user-supplied content for material that is offensive, threatening, sexual, or indicative of self-harm risk. The most commoditised safety solution, available as a managed service from most model providers.
Any system with user-generated input or public-facing output, and any consumer-facing conversational interface.
Closed internal systems processing structured business data, where the base rate is near zero and filtering adds latency and false positives without benefit.
Self-harm signals require a different response path from other categories — escalation to a human, not silent filtering. Treating them as one more toxicity class is a serious design error.
Context-blind filtering. Clinical, legal and safeguarding discussions trip classifiers trained on surface features, blocking exactly the professionals who need to discuss the topic.
A customer support assistant that routes a message containing self-harm indicators to a trained human immediately rather than responding or filtering.
Two different absences share this shape. Foundational solutions get built whatever the domain, so no domain links them; the rest are solutions this domain genuinely does not reach for. v_ai_solutions_unlinked separates the two.