Exploring the Vital Distinction Between AI Applications and Models

Guest:

• Elie Bursztein, Google DeepMind Cybersecurity Research Lead, Google

 Topics:

• Given your experience, how afraid or nervous are you about the use of GenAI by the criminals (PoisonGPT, WormGPT and such)?

• What can a top-tier state-sponsored threat actor do better with LLM? Are there “extra scary” examples, real or hypothetical?

• Do we really have to care about this “dangerous capabilities” stuff (CBRN)? Really really?

• Why do you think that AI favors the defenders? Is this a long term or a short term view?

• What about vulnerability discovery? Some people are freaking out that LLM will discover new zero days, is this a real risk?

 Resources:

• “How Large Language Models Are Reshaping the Cybersecurity Landscape” RSA 2024 presentation by Elie (May 6 at 9:40AM)

• “Lessons Learned from Developing Secure AI Workflows” RSA 2024 presentation by Elie (May 8, 2:25PM)

• EP50 The Epic Battle: Machine Learning vs Millions of Malicious Documents

• EP40 2021: Phishing is Solved?

• EP135 AI and Security: The Good, the Bad, and the Magical

• EP170 Redefining Security Operations: Practical Applications of GenAI in the SOC

• EP168 Beyond Regular LLMs: How SecLM Enhances Security and What Teams Can Do With It

• PyRIT LLM red-teaming tool

• Accelerating incident response using generative AI

• Threat Actors are Interested in Generative AI, but Use Remains Limited

• OpenAI’s Approach to Frontier Risk