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Using Generative AI for CyberSecurity Work

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-gen... https://community.aws/generative-ai    • Introduction to Large Language Models...   https://aws.amazon.com/bedrock/ https://aws.amazon.com/pm/codewhisperer    • Mastering the art of CodeWhisperer 🪄   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 Follow Amazon Web Services: Official Website: https://aws.amazon.com/what-is-aws Twitch:   / aws   Twitter:   / awsdevelopers   Facebook:   / amazonwebservices   Instagram:   / amazonwebservices   #AWS #AmazonCodeWhisperer