Red-teaming and safety annotation (violence, hate, misinformation)

*Overview We identify, validate, and label unsafe LLM outputs by combining targeted red-teaming, expert human review, and structured safety rubrics. The service simulates adversarial use cases and systematically evaluates model responses for: Violence and incitement Hate and harassment Sexually explicit material Misinformation and disinformation Self-harm or medical harm content Prompt injection and jailbreak behaviors How it works Input submission — Provide a model endpoint, generated dataset, or connect via S3/SageMaker. Scenario design — Create targeted adversarial prompts and scenario pools across safety categories. Annotation phase — Human reviewers score each sample with policy-aligned rubrics, flag unsafe spans, add severity levels, and draft safer alternative completions. Adjudication & quality control — Disagreements resolved via senior review; inter-rater reliability tracked. Automated checks — Keyword/entity scans, toxicity models, and misinformation lookups augment human review. Deliverable packaging — Outputs in JSONL/CSV, with per-sample scores, flags, and recommended mitigation strategies. Deliverables Annotated dataset with safety categories, severity ratings, and alternative completions Summary report with violation frequencies, distribution by category, and examples Per-category recommendations for model safety tuning Confusion cases and rubric refinements Audit logs and reviewer traceability Quality & metrics We track violation rate by category, severity-weighted safety scores, inter-annotator agreement, false-positive/false-negative rates, and resilience improvement after remediation. Integrations & formats Output formats: JSONL, CSV, SageMaker Ground Truth manifests Connectors: S3, SageMaker, and REST/webhook APIs Supports safety annotation and model endpoint testing

Security & compliance We align with best practices for data privacy and security, including encrypted storage, role-based access, and secure deletion compliant with contractual and regulatory mandates *