AI Security Vulnerabilities and Safeguards

7min Snip

00:00

Play full episode

Summary

Transcript

Episode notes

This chapter explores the cybersecurity risks associated with artificial intelligence models, highlighting the potential for backdoors and the importance of stringent safeguards. It advocates for using AI in controlled environments and discusses existing guidelines to enhance security measures when deploying these technologies.

Dinis Cruz drops by to chat about cybersecurity for generative AI and large language models. In addition to discussing The Cyber Boardroom, Dinis also delves into cybersecurity efforts at OWASP and that organization’s Top 10 for LLMs and Generative AI Apps.

Leave us a comment

Changelog++ members save 7 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

Speakeasy – Production-ready, enterprise-resilient, best-in-class SDKs crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! Create your first SDK for free!
Fly.io – The home of Changelog.com — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. Check out the speedrun to get started in minutes.
Shopify – Sign up for a $1/month trial period at shopify.com/practicalai

Featuring: