The document states that Anthropic evaluates models against defined capability thresholds before training or deploying them, and that Claude Sonnet 4.5 has been assessed against these thresholds as part of its release process.
This analysis describes what Anthropic's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision discloses Anthropic's internal governance mechanism for frontier AI risk management, which is operationally relevant to enterprise customers and regulators assessing whether the model has undergone structured pre-deployment safety evaluation.
Interpretive note: The operational adequacy of the RSP evaluation methodology relative to specific regulatory standards depends on jurisdiction and applicable sector-specific requirements, which the document does not fully address.
The Responsible Scaling Policy establishes that Anthropic conducts structured capability and safety evaluations before deploying models, providing operators and users with a disclosed governance framework for understanding how safety determinations were made for Claude Sonnet 4.5.
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"Anthropic's Responsible Scaling Policy (RSP) establishes safety cases that must be met before training or deploying models at various capability levels, with the goal of ensuring that safety and security measures keep pace with increasing model capabilities.— Excerpt from Anthropic's Claude Sonnet 5 System Card
1. REGULATORY LANDSCAPE: This provision engages with the EU AI Act's requirements for general-purpose AI models with systemic risk, which mandate capability evaluations, adversarial testing, and incident reporting obligations before and after deployment. The US Executive Order on AI Safety's requirements for safety evaluations of dual-use foundation models are also relevant. Where Anthropic's RSP thresholds align with or diverge from regulatory evaluation standards, operators may need to assess whether additional independent evaluation is required for their specific use case. 2. GOVERNANCE EXPOSURE: Medium. The RSP provides a documented internal governance structure that can be referenced in operator compliance documentation, but the adequacy of Anthropic's evaluation methodology relative to regulatory standards is a matter of ongoing regulatory development. Operators in regulated industries should not rely solely on the RSP as evidence of compliance with sector-specific AI safety requirements. 3. JURISDICTION FLAGS: EU operators subject to the EU AI Act's GPAI provider obligations should assess whether Anthropic's RSP evaluations constitute sufficient technical documentation under the Act's requirements. US federal contractors or operators in defense-adjacent contexts should assess whether RSP thresholds are compatible with applicable government AI safety standards. 4. CONTRACT AND VENDOR IMPLICATIONS: Operators should assess whether their commercial agreements with Anthropic provide access to RSP evaluation reports or summaries sufficient for their own regulatory documentation needs. Where operators are required by contract or regulation to conduct third-party AI audits, the RSP documentation may form part of the evidence base. 5. COMPLIANCE CONSIDERATIONS: Compliance teams should monitor Anthropic's RSP updates and assess whether changes to safety level thresholds or evaluation methodologies affect the compliance posture of existing deployments. Organizations should document their reliance on the RSP as part of their AI governance records.
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This provision discloses Anthropic's internal governance mechanism for frontier AI risk management, which is operationally relevant to enterprise customers and regulators assessing whether the model has undergone structured pre-deployment safety evaluation.
The Responsible Scaling Policy establishes that Anthropic conducts structured capability and safety evaluations before deploying models, providing operators and users with a disclosed governance framework for understanding how safety determinations were made for Claude Sonnet 4.5.
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