There is a complex interplay between innovation and security in the age of GenAI. As the digital landscape evolves at an unprecedented pace, Daniel, Caleb and Ashish share their insights on the challenges and opportunities that come with integrating AI into cybersecurity strategies.
Caleb challenges the current trajectory of safety mechanisms in technology and how overregulation may inhibit innovation and the advancement of AI's capabilities. Daniel Miessler, on the other hand, emphasizes the necessity of accepting technological inevitabilities and adapting to live in a world shaped by AI. Together, they explore the potential overreach in AI safety measures and discuss how companies can navigate the fine line between fostering innovation and ensuring security
Questions asked:
00:00 Introduction
03:19 Maintaining Balance of Innovation and Security
06:21 Uncensored LLM Models
09:32 Key Considerations for Internal LLM Models
12:23 Balance between Security and Innovation with GenAI
16:03 Enterprise risk with GenAI
25:53 How to address enterprise risk with GenAI?
28:12 Threat Modelling LLM Models
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