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Resilient Cyber w/ Steve Wilson - Securing the Adoption of GenAI & LLM's
Manage episode 436685698 series 2947250
In this episode we sit down with GenAI and Security Leader Steve Wilson to discuss securing the explosive adoption of GenAI and LLM's. Steve is the leader of the OWASP Top 10 for LLM's and the upcoming book The Developer's Playbook for LLM Security: Building Secure AI Applications
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- First off, for those not familiar with your background, can you tell us a bit about yourself and what brought you to focusing on AI Security as you have currently?
- Many may not be familiar with the OWASP LLM Top 10, can you tell us how the project came about, and some of the value it provides the community?
- I don't want to talk through the list item by item, but I wanted to ask, what are some of the key similarities and key differences when it comes to securing AI systems and applications compared to broader historical AppSec?
- Where do you think organizations should look to get started to try and keep pace with the businesses adoption of GenAI and LLM's?
- You've also been working on publishing the Developers Playbook to LLM Security which I've been working my way through an early preview edition of and it is great. What are some of the core topics you cover in the book?
- One hot topic in GenAI and LLM is the two large paths of either closed and open source models, services and platforms. What are some key considerations from your perspective for those adopting one or the other?
- I know software supply chain security is a key part of LLM and GenAI security, why is that, and what should folks keep in mind?
- For those wanting to learn more, where can they find more resources, such as the LLM Top 10, your book, any upcoming talks etc?
143 つのエピソード
Manage episode 436685698 series 2947250
In this episode we sit down with GenAI and Security Leader Steve Wilson to discuss securing the explosive adoption of GenAI and LLM's. Steve is the leader of the OWASP Top 10 for LLM's and the upcoming book The Developer's Playbook for LLM Security: Building Secure AI Applications
-
- First off, for those not familiar with your background, can you tell us a bit about yourself and what brought you to focusing on AI Security as you have currently?
- Many may not be familiar with the OWASP LLM Top 10, can you tell us how the project came about, and some of the value it provides the community?
- I don't want to talk through the list item by item, but I wanted to ask, what are some of the key similarities and key differences when it comes to securing AI systems and applications compared to broader historical AppSec?
- Where do you think organizations should look to get started to try and keep pace with the businesses adoption of GenAI and LLM's?
- You've also been working on publishing the Developers Playbook to LLM Security which I've been working my way through an early preview edition of and it is great. What are some of the core topics you cover in the book?
- One hot topic in GenAI and LLM is the two large paths of either closed and open source models, services and platforms. What are some key considerations from your perspective for those adopting one or the other?
- I know software supply chain security is a key part of LLM and GenAI security, why is that, and what should folks keep in mind?
- For those wanting to learn more, where can they find more resources, such as the LLM Top 10, your book, any upcoming talks etc?
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