multi-stage moderation

**Multi-stage moderation** is the **defense-in-depth moderation architecture that applies multiple screening layers with increasing sophistication** - staged filtering improves safety coverage while balancing latency and cost. **What Is Multi-stage moderation?** - **Definition**: Sequential moderation pipeline combining lightweight checks, model-based classifiers, and escalation workflows. - **Typical Stages**: Fast rules, ML category scoring, high-risk adjudication, and optional human review. - **Design Goal**: Block clear violations early and reserve expensive analysis for ambiguous cases. - **Operational Context**: Applied on both user input and model output channels. **Why Multi-stage moderation Matters** - **Coverage Strength**: Different attack types are caught by different layers, reducing single-point failure risk. - **Latency Efficiency**: Cheap stages handle most traffic without invoking costly deep checks. - **Quality Control**: Ambiguous cases receive richer evaluation, lowering harmful leakage. - **Resilience**: Layered pipelines remain robust as adversarial tactics evolve. - **Governance Clarity**: Stage-level decision logs improve auditability and incident analysis. **How It Is Used in Practice** - **Tiered Thresholds**: Route requests by risk confidence bands across moderation stages. - **Fallback Logic**: Define fail-safe behavior when classifiers disagree or services are unavailable. - **Continuous Tuning**: Rebalance stage thresholds using false-positive and false-negative telemetry. Multi-stage moderation is **a practical safety architecture for high-scale AI systems** - layered screening delivers better protection than single-filter moderation while preserving operational throughput.