EP146 AI Security: Solving the Problems of the AI Era: A VC's Insights

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

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Cloud Security Podcast by Google focuses on security in the cloud, delivering security from the cloud, and all things at the intersection of security and cloud. Of course, we will also cover what we are doing in Google Cloud to help keep our users' data safe and workloads secure. We’re going to do our best to avoid security theater, and cut to the heart of real security questions and issues. Expect us to question threat models and ask if something is done for the data subject’s benefit or just for organizational benefit. We hope you’ll join us if you’re interested in where technology overlaps with process and bumps up against organizational design. We’re hoping to attract listeners who are happy to hear conventional wisdom questioned, and who are curious about what lessons we can and can’t keep as the world moves from on-premises computing to cloud computing.