Category:
Category:
Safety Classifiers
Category:
Governance, Risk & Compliance
Definition
Models that detect harmful, unsafe, or non-compliant content before it reaches the user.
Explanation
Safety classifiers operate alongside LLMs to identify toxic, harmful, biased, or policy-violating outputs. They can filter user inputs, the model's outputs, or agent actions. Safety classifiers run as a mandatory layer in enterprise AI systems, preventing legal and reputational risks.
Technical Architecture
Input/Output → Safety Classifier → Allow/Block/Modify → Final Output
Core Component
Moderation model, toxicity detector, bias detector, compliance filter
Use Cases
Enterprise chatbots, agent workflows, tool-call validation, moderation systems
Pitfalls
Over-blocking good content, under-detecting subtle harm, latency overhead
LLM Keywords
Safety Classifier, Moderation Model, LLM Safety
Related Concepts
Related Frameworks
• Guardrails
• Red-Teaming
• Policy Enforcement
• LLM Safety Layer Architecture