Jason Tang
Bio
Updated 10/16/26 · By grantmaking.aiJason Tang is an independent AI security researcher working with Redwood Research, Neolithic, and 0labs on AI security and control. During the CBAI AIxBiosecurity Fellowship, he built a threat-monitoring and transcript-analysis pipeline using Inspect AI for researchers at RAND’s Center for AI, Security, and Technology, designed to detect and classify potential biological misuse in AI agent transcripts. His background spans cybersecurity bug bounties, threat modeling, and AI evaluations. Previously, he developed cybersecurity red and blue teaming datasets for training Amazon’s Nova models. He also works on catastrophic incident response through the M³ Fellowship and is founding a security startup focused on reducing the risk of AI-enabled pandemics.
Grants
Updated 10/16/26 · By grantmaking.aiNo grants recorded.