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Public Interest Cybersecurity champions cyber civil defense
Public Interest Cybersecurity champions cyber civil defense
Public Interest Cybersecurity
Public Interest Cybersecurity champions cyber civil defense
Dr. Nada Madkour to Serve as Interim Director of CLTC’s AI Security Initiative (AISI)
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…
AI Risk-Management Standards Profile for General-Purpose AI (GPAI) and Foundation Models v1.2
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…
CLTC White Paper Proposes New Approach to Risk Thresholds for AI-Enabled Cyber Threats
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.
Toward Risk Thresholds for AI-Enabled Cyber Threats: Enhancing Decision-Making Under Uncertainty with Bayesian Networks
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…
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