UC Berkeley's Center for Long-Term Cybersecurity (CLTC) is a research and collaboration hub advancing future-oriented cybersecurity research, policy, and education, with a growing focus on AI safety governance and risk management for frontier AI systems.
UC Berkeley's Center for Long-Term Cybersecurity (CLTC) is a research and collaboration hub advancing future-oriented cybersecurity research, policy, and education, with a growing focus on AI safety governance and risk management for frontier AI systems.
People
Updated 05/18/26Executive Director
Director, UC Berkeley Cybersecurity Clinic
Director, AI Security Initiative
Program Director, Public Interest Cybersecurity
Funding Details
Updated 05/18/26- Annual Budget
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Org Details
Updated 05/18/26The Center for Long-Term Cybersecurity (CLTC) was established in 2015 at the University of California, Berkeley's School of Information, funded by a $15 million seed grant from the William and Flora Hewlett Foundation — part of the foundation's $45 million Cyber Initiative split across Berkeley, Stanford, and MIT. The center was co-founded by Professor Steven Weber, a political scientist who served as founding Faculty Director through 2021. Ann Cleaveland joined as Executive Director in 2018, having previously served as Interim Executive Director of the Berkeley Institute for Data Science and Senior Director of Strategic Planning at ClimateWorks Foundation. Professor Chris Hoofnagle (Law and I School) succeeded Weber as Faculty Director in 2021. CLTC's mission is to amplify the upside of the digital revolution, help decision-makers act with foresight, and expand who has access to and participates in cybersecurity. The center works at the intersection of people and digital technologies, producing research, policy guidance, and educational programs designed to address cybersecurity challenges over a long time horizon. The AI Security Initiative (AISI), launched in 2019, has become one of CLTC's most prominent programs, particularly relevant to AI safety. Directed by Jessica Newman, AISI conducts interdisciplinary research on the global security implications of AI. Key outputs include the UC Berkeley AI Risk-Management Standards Profile for General-Purpose AI and Foundation Models (v1.1, January 2025), a working paper on intolerable risk thresholds for frontier AI submitted to the Paris AI Action Summit (November 2024), a full report on intolerable AI risk threshold recommendations (February 2025), and an Agentic AI Risk-Management Standards Profile (February 2026). AISI participates in the NIST AI Consortium and engages with international AI governance bodies. The AI Policy Hub, co-run with CITRIS Policy Lab, trains UC Berkeley graduate students and researchers to develop AI governance and policy frameworks that reduce harmful effects and amplify benefits of AI. The UC Berkeley Cybersecurity Clinic (formerly Citizen Clinic), founded in 2018, was the world's first public-interest cybersecurity clinic. It deploys Berkeley students to provide pro bono digital security services to under-resourced civil-society organizations. By 2024-25, the clinic enrolled a record 34 students per semester. CLTC co-founded the Consortium of Cybersecurity Clinics in 2021 to expand this model globally, with the goal of placing a clinic in every US state by 2030. Other programs include the Public Interest Cybersecurity initiative (protecting schools, hospitals, and city governments), the Daylight Security Research Lab (cultural dimensions of cybersecurity), and the Internet Atlas project (analyzing structural risks to global internet infrastructure). In 2019, CLTC distributed $1.3 million in research grants supporting more than 30 projects and approximately 50 graduate student and faculty researchers.
Theory of Change
Updated 05/18/26CLTC believes that long-term and catastrophic cybersecurity and AI risks can be reduced through rigorous interdisciplinary research, practical governance frameworks, and direct engagement with policymakers. On AI safety, the center's AI Security Initiative works to operationalize meaningful safety constraints on frontier AI by developing scientific frameworks for defining and measuring intolerable risk thresholds (including CBRN-enabling capabilities, evaluation deception, and large-scale influence operations), producing standards-aligned risk management profiles that AI developers and regulators can adopt, and training the next generation of AI policy researchers. By influencing national standards bodies (NIST), contributing to international governance processes (EU AI Act, AI Action Summit), and seeding a diaspora of trained researchers and practitioners across industry and government, CLTC aims to ensure that AI development is subject to meaningful accountability and safety constraints before catastrophic risks materialize.
Grants Received
Updated 05/18/26Projects
Updated 05/18/26The AI Policy Hub is an interdisciplinary platform housed at CLTC’s AI Security Initiative that disseminates governance frameworks and policy research to guide the development and deployment of frontier AI, led by Dr. Nada Madkour and collaborating with partners across UC Berkeley and CITRIS Tech Policy.
The AI Security Initiative is a CLTC research program at UC Berkeley that advances AI risk management in the public interest by developing AI risk‑management standards, intolerable risk thresholds for advanced AI systems, and guidance for testing, evaluation, and governance of AI.
AI-Enabled Cybercrime is a joint initiative of CLTC and the Berkeley Risk and Security Lab that convenes workshops, interviews, and real‑world simulations across hubs such as Berkeley, Singapore, and Tel Aviv to analyze how cybercriminals misuse AI and to develop actionable strategies, tools, and guidelines for organizations to defend against these threats.
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