AWS Developers | Using Generative AI for CyberSecurity Work @awsdevelopers | Uploaded 11 months ago | Updated 1 hour ago
Dive into the fascinating world of Generative AI and its potential applications in cybersecurity with AWS Developer Advocates, Brandon Carroll and Mike Chambers. In this discussion, they explore the capabilities of Generative AI in risk assessment, vulnerability analysis, and code writing. Discover the nuances of large language models, the power of tools like Code Whisperer, and the future prospects of integrating AI into cybersecurity. Whether you're a seasoned security professional or just curious about the latest in AI, this conversation offers valuable insights for all. For more resources and in-depth discussions, visit the Generative AI Space on AWS's community platform. Don't forget to like, subscribe, and share!

Resources:
https://community.aws/posts/using-generative-ai-for-cybersecurity-work
https://community.aws/generative-ai
youtube.com/playlist?list=PLDqi6CuDzubwpag1cdbcvaycJneOf96Lg&si=3i_FMPm7Wtejy532
aws.amazon.com/bedrock
aws.amazon.com/pm/codewhisperer
youtube.com/playlist?list=PLDqi6CuDzubxzL-yIqgQb9UbbceYdKhpK&si=5P1Kfe3P-Q3Iaz6l

Chapters:
0:00 Introduction
0:50 How Generative AI can be used for Risk Assessment and Vulnerability Analysis
2:15 How LLMs use a prompt to generate a response
4:18 Why responses may vary for the same prompt - Temperature
6:25 When is it appropriate to write an application vs. use Generative AI?
8:07 Conclusion and where to learn more

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