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AI safety & alignment

AI Safety, Alignment & Model Governance

AI safety teams in 2026 evaluate models on five dimensions: jailbreak resistance, hallucination rate, prompt-injection defense, content moderation breadth, and refusal calibration. Vendor marketing pages claim everything; the real differences only show up in published red-team reports, third-party benchmarks (HELM, MLPerf-Safety, JailbreakBench), and your own evals.

These pages cite published 2026 safety data from OpenAI, Anthropic, Google DeepMind, Meta, Mistral, and Cohere — plus moderation pricing and prompt-injection defense patterns. Pick a topic or compare safety stacks across providers.

19 pages · updated 2026

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