Photo of Matthew Ferraro

Matthew F. Ferraro is a partner in Crowell & Moring’s Privacy and Cybersecurity Group, where he helps clients address complex regulatory matters at the intersection of advanced technology, national security, and crisis management. He advises leading organizations on high-impact matters related to artificial intelligence (AI) and other emerging technologies, cyberattacks, domestic and international privacy compliance, internal investigations, foreign direct investment reviews, and high-stakes crises.

Before joining the firm, Matthew served as the Senior Counselor for Cybersecurity and Emerging Technology to the Secretary of Homeland Security. As a principal advisor to the Secretary and a member of the U.S. Department of Homeland Security’s leadership team, he served at the heart of U.S. government policymaking around AI and cybersecurity. He assisted in the development and drafting of key AI, cyber, and technology policies and regulations; advised on the deployment of AI to fulfill the department’s missions; and counseled on cyber-incident responses and investigations. Matthew also helped establish and served as the Executive Director of the Artificial Intelligence Safety and Security Board, a flagship public-private advisory committee focused on AI’s use in critical infrastructure and chaired by the Secretary and composed of industry, nonprofit, and government luminaries.

On Tuesday, March 24, 2026, a New Mexico jury found Meta liable for failing to protect kids from child exploitation on its platforms and ordered the company to pay $375 million in damages for consumer-protection violations. The next day, a California jury found Meta and YouTube liable for platform features that cause children to become

The White House’s National AI Policy Framework sets out seven priorities for Congress to codify into federal law, including the preemption of state AI regulations in favor of a unified national standard; age-assurance requirements and stronger parental controls to protect children; deference to the courts on intellectual property questions arising from AI training on copyrighted