Articles Posted in AI Governance

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On September 21, 2026, New York Governor Kathy Hochul announced New York’s next steps in implementing the Responsible AI Safety and Education (RAISE) Act, which establishes new safety, transparency and reporting requirements for developers of frontier models. New York is not alone, as California, Connecticut and Illinois have also enacted similar laws. The RAISE Act has significant overlap with California’s Transparency in Frontier Artificial Intelligence Act (SB 53), a law we discuss, along with other recent California AI legislation, in our prior article, New California AI Laws.

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On June 4, 2026, the House Homeland Security Subcommittee on Cybersecurity and Infrastructure Protection held a hearing on “The AI Security Landscape: How Frontier Models, Agentic AI, and AI Coding Tools Are Reshaping Cybersecurity and Critical Infrastructure Resilience.” The hearing focused on how advanced AI systems are changing both sides of the cybersecurity equation: giving defenders new tools to identify, prioritize and remediate vulnerabilities, while also giving adversaries the ability to scale vulnerability discovery, exploitation, reconnaissance and malware development.

In “House Homeland Security Hearing Highlights Growing Cybersecurity and Critical Infrastructure Risks of AI,” colleagues Shruti Bhutani Arora, Brian Finch and Nathan Banks identify the key takeaways from the hearing, potential policy and rulemaking signals, and the main issue areas for clients developing, deploying or relying on AI-enabled cybersecurity, coding or infrastructure tools.

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The first binding obligations of the European Union’s landmark AI legislation, the EU AI Act (the Act), came into effect on February 2, 2025. Essentially, from this date, AI practices which present an unacceptable level of risk are prohibited and organizations are required to ensure an appropriate level of AI literacy among staff. For a comprehensive overview of the Act, see our earlier client alert here.

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