{"slug": "anthropic", "title": "Anthropic", "summary": "Anthropic, an AI safety company founded by former OpenAI researchers, develops the Claude family of AI assistants and conducts research on AI alignment, constitutional AI, and mechanistic interpretability to ensure advanced AI systems remain safe and beneficial.", "body_md": "# Anthropic\n\nLast updated: March 10, 2026\n\nAnthropic is an AI safety company focused on building reliable, interpretable, and steerable AI systems. Founded by former OpenAI researchers, the company develops the Claude family of AI assistants and conducts frontier research on AI alignment, constitutional AI, and mechanistic interpretability to ensure advanced AI systems remain safe and beneficial.\n\n## Related Organizations\n\n## Related Comparisons\n\n[Organization](/compare/anthropic-vs-openai/)\n\n### Anthropic vs OpenAI: Comparison\n\nCompare Anthropic and OpenAI across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-meta-ai-safety/)\n\n### Anthropic vs Meta AI Safety Research: Comparison\n\nCompare Anthropic and Meta AI Safety Research across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-microsoft-responsible-ai/)\n\n### Anthropic vs Microsoft Responsible AI: Comparison\n\nCompare Anthropic and Microsoft Responsible AI across focus areas, approach, and impact in AI safety and 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Anthropic and Arthur AI across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-fiddler-ai/)\n\n### Anthropic vs Fiddler AI: Comparison\n\nCompare Anthropic and Fiddler AI across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-guardrails-ai-org/)\n\n### Anthropic vs Guardrails AI: Comparison\n\nCompare Anthropic and Guardrails AI across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-ibm-trustworthy-ai/)\n\n### Anthropic vs IBM Research — Trustworthy AI: Comparison\n\nCompare Anthropic and IBM Research — Trustworthy AI across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-nvidia-ai-trust/)\n\n### Anthropic vs NVIDIA AI Trust & Safety: Comparison\n\nCompare Anthropic and NVIDIA AI Trust & Safety across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-stability-ai/)\n\n### Anthropic vs Stability AI: Comparison\n\nCompare Anthropic and Stability AI across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-mistral-ai/)\n\n### Anthropic vs Mistral AI: Comparison\n\nCompare Anthropic and Mistral AI across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-cohere/)\n\n### Anthropic vs Cohere: Comparison\n\nCompare Anthropic and Cohere across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-aleph-alpha/)\n\n### Anthropic vs Aleph Alpha: Comparison\n\nCompare Anthropic and Aleph Alpha across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-apple-ml-research/)\n\n### Anthropic vs Apple Machine Learning Research: Comparison\n\nCompare Anthropic and Apple Machine Learning Research across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-dynamo-ai/)\n\n### Anthropic vs Dynamo AI: Comparison\n\nCompare Anthropic and Dynamo AI across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-enkrypt-ai/)\n\n### Anthropic vs Enkrypt AI: Comparison\n\nCompare Anthropic and Enkrypt AI across focus areas, approach, and impact in AI safety and security.\n\n[Organization](/compare/anthropic-vs-splxai/)\n\n### Anthropic vs SplxAI: Comparison\n\nCompare Anthropic and SplxAI across focus areas, approach, and impact in AI safety and security.\n\n## Related Guides\n\n[Security](/guides/llm-guardrails/)\n\n### LLM Guardrails: The Complete Guide to AI Safety Guardrails (2026)\n\nEverything you need to know about LLM guardrails — what they are, why they matter, top tools, implementation patterns, and best practices for securing AI systems.\n\n[Security](/guides/prompt-injection/)\n\n### Prompt Injection Attacks: Types, Examples & Defenses\n\nA comprehensive guide to prompt injection attacks — how they work, the different types, real-world examples, and defense strategies for securing LLM applications.\n\n[Security](/guides/blue-teaming-ai/)\n\n### Blue Teaming in AI Security: Strategy, Tools & Best Practices\n\nA complete guide to AI blue teaming — the defensive operations function for monitoring, detecting, and responding to security threats against AI systems.\n\nGet weekly AI security & safety updates\n\nNew tools, frameworks, and research delivered to your inbox.", "url": "https://wpnews.pro/news/anthropic", "canonical_source": "https://aisecurityandsafety.org/organizations/anthropic", "published_at": "2026-06-13 12:00:25.324349+00:00", "updated_at": "2026-06-13 12:00:27.565164+00:00", "lang": "en", "topics": ["ai-safety", "ai-research", "large-language-models", "artificial-intelligence", "ai-ethics"], "entities": ["Anthropic", "OpenAI", "Claude"], "alternates": {"html": "https://wpnews.pro/news/anthropic", "markdown": "https://wpnews.pro/news/anthropic.md", "text": "https://wpnews.pro/news/anthropic.txt", "jsonld": "https://wpnews.pro/news/anthropic.jsonld"}}