The UC Berkeley Center for Long-Term Cybersecurity (CLTC) is pleased to announce that Nada Madkour, Ph.D., will serve as Interim Director for its AI Security Initiative (AISI), a…
Coming soon… The General-Purpose AI Risk-Management Standards Profile (“GPAI Profile”) Version 1.2 is planned for release in February 2026. View Version 1.1 released in January 2025. Contact Nada…
In a new report, Toward Risk Thresholds for AI-Enabled Cyber Threats: Enhancing Decision-Making Under Uncertainty with Bayesian Networks — a team of researchers with the Center for Long-Term Cybersecurity’s Artificial Intelligence Security Initiative (AISI) — Krystal Jackson, Deepika Raman, Jessica Newman, Nada Madkour, Charlotte Yuan, and Evan R. Murphy — propose a structured approach for developing and evaluating AI cyber risk thresholds. Their approach relies on the use of Bayesian networks (BNs), a type of probabilistic modeling tool that can help determine thresholds by integrating a wide range of information about both the world and AI systems.
Artificial intelligence (AI) is increasingly being used to augment and automate cyber operations, altering the scale, speed, and accessibility of malicious activity. For example, AI can be used…
When AI-Impersonation Turns Trust into an Attack Surface By Gil Baram and Refael Franco Over the past year, the Center for Long-Term Cybersecurity (CLTC) and Berkeley Risk and…
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By Grace Menna, Senior Fellow in Public Interest Cybersecurity As 2025 comes to a close, CTLC reflects on the first year of the Cyber Resilience Corps, including…
This piece was originally featured on The Consortium of Cybersecurity Clinics website. Cybersecurity clinics — university-based programs that train students to provide pro bono cybersecurity assistance to organizations with…
Craig Newmark Philanthropies (CNP) today announced it will continue its support for UC Berkeley’s Public Interest Cybersecurity Program at the Center for Long-Term Cybersecurity (CLTC) through 2028, extending…
