AI Models

AI Safety and Red-Teaming Basics

7 min read

Safety is not a single switch. It is training, evaluation, guardrails, and human review. Red-teaming probes model behavior under edge-case prompts so failures are found before users find them.

What to look for

  • Clear provider safety docs and release notes.
  • Benchmarks for harmful outputs and tool misuse.
  • Tenancy controls for shared assistants.

Good references: Anthropic safety, OpenAI safety, and Google AI responsibility.

In product terms, safety is a feature: permissioned connections, user-scoped memory, and explicit action confirmations.

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