Add safety layers to LLMs with content filters, policies, approvals, and audit logs
No sign-up required • Free to try
Standardize eval harnesses with golden data, safety tests, and pre-deploy regression gates
Map templates, variables, evaluations, and rollout for safer, reliable prompts
Instrument LLMs and ML models with tracing, metrics, drift detection, and user feedback
Common questions about ai guardrails & moderation generator
Filter toxicity, self-harm, violence, PII, secrets, and policy-violating content on both input and output.
Use a policy engine with rules per product/region. Add allow/deny lists and contextual checks before responses.
Require human approval for high-impact actions (payments, deletions). Capture request context and rationale.
Run red teaming with adversarial prompts, track block rates, and adjust thresholds. Keep evaluation sets updated.
Log all blocked/flagged events with reasons, user IDs, and timestamps. Support exports for compliance.
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