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Dawn Song

Professor at UC Berkeley

Dawn Song is a prominent figure in the field of Computer Science, holding the position of Professor at UC Berkeley and known for her research in AI, Security, and Blockchain. She is also recognized as a serial entrepreneur with a strong background in academia and industry.

Dr. Song pursued her academic journey at prestigious institutions, earning a Doctor of Philosophy (Ph.D.) in Computer Science from the University of California, Berkeley, and a Master of Science (M.S.) in Computer Science from Carnegie Mellon University.

With a wealth of experience, Dawn Song has contributed significantly to the academic community, serving as a Professor at UC Berkeley and previously holding positions at Carnegie Mellon University. Additionally, she has showcased her entrepreneurial spirit by founding Oasis Labs.

Dawn Song's expertise spans various domains within computer science, with a particular focus on AI, Security, and Blockchain. Her multi-faceted background equips her with a unique perspective that she applies to both her research and entrepreneurial endeavors.

Highlights

Oct 22 · twitter

Join us for a critical conversation at a pivotal moment in AI and Cybersecurity!

Benchmarks such as our CyberGym and results from the recent AIxCC competition demonstrate that AI capabilities in cybersecurity are advancing at unprecedented pace.

@BerkeleyRDI and @schmidtsciences are convening “Frontier AI in Cybersecurity: Risks and Opportunities” - a timely workshop examining how frontier AI is reshaping both offensive ⚔️ and defensive 🛡️cybersecurity.

📅 Save the dates: Part 1: November 6, 2025 9am PT Part 2: November 12, 2025 📍Online workshop

Join us as we shape the future of #AI and #Cybersecurity together!

Join us for a critical conversation at a pivotal moment in AI and Cybersecurity!

Benchmarks such as
Oct 21 · twitter

New evaluation results from @AnthropicAI's Claude Sonnet 4.5’s system card on our CyberGym benchmark reveals a striking trend: AI cybersecurity capabilities are advancing at unprecedented speed—from ~10% (Claude-Sonnet -3.7) to ~30% success rates (Claude-Sonnet-4.5) (with single trial) in just months.

This marks a wake-up call for cybersecurity: AI is redefining the discovery and remediation of software vulnerabilities at scale.

New evaluation results from @AnthropicAI's Claude Sonnet 4.5’s system card on our CyberGym benchmark
Sep 21 · IT Business Edge
Adversarial Machine Learning: Combating Data Poisoning | ITBE - IT Business Edge
Sep 21 · BlockTribune
UC Berkeley Introduces DeFi Course for Fall 2021 - BlockTribune
Dawn Song
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Location

Berkeley, California, United States