Guest:

• Wei Lien Dang, GP at Unusual Ventures

Topics:

• We have a view at Google that AI for security and security for AI are largely separable disciplines. Do you feel the same way? Is this distinction a useful one for you?

• What are some of the security problems you're hearing from AI companies that are worth solving?

• AI is obviously hot, and as always security is chasing the hotness. Where are we seeing the focus of market attention for AI security?

• Does this feel like an area that's going to have real full products or just a series of features developed by early stage companies that get acquired and rolled up into other orgs?

• What lessons can we draw on from previous platform shifts, e.g. cloud security, to inform how this market will evolve?

Resources:

• "What to think about when you're thinking about securing AI" blog / paper

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

• EP136 Next 2023 Special: Building AI-powered Security Tools - How Do We Do It?

• EP144 LLMs: A Double-Edged Sword for Cloud Security? Weighing the Benefits and Risks of Large Language Models

• Introducing Google's Secure AI Framework

• OWASP Top 10 for Large Language Model Applications

• Unusual VC Startup Field Guide

• Demystifing LLMs and Threats by Caleb Sima