Anthropic Publishes Frontier Compliance Framework for California's SB 53 Transparency in Frontier AI Act
Anthropic has released its Frontier Compliance Framework (FCF) in advance of California's SB 53 taking effect on January 1, 2026, which establishes the first mandatory frontier AI safety and transparency requirements in the US. The FCF covers risk assessment and mitigation for cyber, CBRN, and AI autonomy/control risks, tiered capability evaluation, model weight protection, and incident response. Anthropic frames the FCF as an evolution of its existing Responsible Scaling Policy, which will continue as a voluntary safety policy beyond regulatory minimums. The company also calls for a federal AI transparency framework with analogous requirements applied only to the largest frontier developers.
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Anthropic Endorses California SB 53 AI Safety Disclosure Bill
Anthropic has announced its endorsement of California Senate Bill 53, which would require large frontier AI developers to publish safety frameworks, release transparency reports before deploying powerful models, report critical safety incidents within 15 days, and provide whistleblower protections. The bill, authored by Senator Scott Wiener and informed by the Joint California Policy Working Group, takes a disclosure-based approach rather than prescriptive technical mandates, drawing lessons from the failed SB 1047. Anthropic frames the bill as formalizing practices already followed by major labs including Google DeepMind, OpenAI, and Microsoft, while creating a level playing field that prevents competitive pressure from eroding voluntary safety programs. Anthropic notes the bill's compute-based threshold (10^26 FLOPS) is an acceptable starting point but calls for future refinement as AI capabilities advance.
Anthropic responds to California Governor Newsom's AI working group draft report
Anthropic published a formal response to the California Governor's Working Group on AI Frontier Models draft report, endorsing its emphasis on transparency and evidence-based policy. Anthropic argues that light-touch mandatory disclosure of safety and security practices would be beneficial without impeding innovation, noting that current voluntary practices are uneven across frontier labs. The response also references Anthropic's Responsible Scaling Policy and Economic Index as examples of existing transparency efforts, and signals urgency given Anthropic's view that powerful AI systems may arrive as early as end of 2026.
Anthropic publishes frontier model security recommendations including multi-party authorization and secure development frameworks
Anthropic released a policy and technical guidance document outlining cybersecurity best practices for securing frontier AI models, including multi-party authorization to AI-critical infrastructure, adoption of NIST SSDF and SLSA supply chain standards, and public-private cooperation modeled on critical infrastructure sectors. The post argues that advanced AI models warrant security levels far exceeding standard commercial practices and recommends government procurement requirements as a near-term enforcement mechanism. Anthropic states it is actively implementing these controls internally and calls on other labs and governments to adopt similar frameworks.
Anthropic proposes federal AI transparency framework with mandatory Secure Development Frameworks and system cards
Anthropic published a policy proposal calling for a targeted AI transparency framework applicable at federal, state, or international levels, targeting only the largest frontier AI developers (suggested thresholds: ~$100M annual revenue or ~$1B R&D/capex). The framework would require covered developers to publicly disclose a Secure Development Framework covering CBRN and misalignment risks, publish system cards at deployment, self-certify compliance, and face legal liability for false statements. The proposal is explicitly lightweight and flexible, designed to avoid prescriptive standards while creating accountability mechanisms and whistleblower protections during the period before comprehensive safety standards are established.
OpenAI's Frontier Governance Framework
OpenAI has published its Frontier Governance Framework, a document outlining the company's AI safety, security, and risk management practices. The framework is explicitly positioned to align with emerging regulatory requirements from the EU and California. As a Tier 1 source announcement, this represents OpenAI's formal public stance on frontier model governance and regulatory compliance strategy.
Anthropic publishes policy brief calling for targeted AI regulation within 18 months
Anthropic published a policy position paper arguing that governments have an 18-month window to enact narrowly-targeted AI regulation before risks in cyber and CBRN domains become acute. The post cites rapid capability gains—SWE-bench scores rising from 1.96% to 49% in a year, GPQA scores approaching human expert level—as evidence that frontier models are approaching meaningful misuse thresholds. Anthropic also reviews its Responsible Scaling Policy as a model for adaptive, proportionate risk governance and calls for similar frameworks to be adopted industry-wide and codified in law.
Anthropic commits to signing the EU General-Purpose AI Code of Practice
Anthropic announced its intention to sign the EU's General-Purpose AI Code of Practice, citing alignment with its existing Responsible Scaling Policy on transparency, safety, and accountability. The company frames the Code's mandatory Safety and Security Frameworks—including CBRN risk assessment—as complementary to its own internal standards. Anthropic also signals continued collaboration with the EU AI Office and third-party bodies like the Frontier Model Forum to keep standards adaptive as the technology evolves.
Anthropic Responds to White House AI Action Plan, Calls for Transparency Standards and Export Controls
Anthropic published a policy response to the White House's 'Winning the Race: America's AI Action Plan,' endorsing its focus on AI infrastructure, federal adoption, and safety research while urging additional steps on export controls and mandatory AI development transparency standards. The company highlighted alignment between the plan and its prior OSTP submissions, and noted its proactive activation of ASL-3 protections with Claude Opus 4 as evidence that safety and innovation are compatible. Anthropic called for a single national standard for frontier model transparency rather than a state-by-state patchwork, and encouraged continued investment in NIST's CAISI for evaluating frontier models on national security risks including CBRN capabilities.