Amazon Web Services

Explore the potential of Generative AI in cybersecurity with AWS Developer Advocates Brandon Carroll and Mike Chambers. They discuss using AI for risk assessment, vulnerability analysis, and code writing, highlighting tools like CodeWhisperer. The conversation covers large language models, their limitations, and future prospects in cybersecurity. Gain insights on when to use AI versus traditional programming methods. For more resources, visit the AWS Generative AI Space.

00:00 Introduction
00:50 How Generative AI can be used for Risk Assessment and Vulnerability Analysis
02:15 How LLMs use a prompt to generate a response
04:18 Why responses may vary for the same prompt - Temperature
06:25 When is it appropriate to write an application vs. use Generative AI?
08:07 Conclusion and where to learn more

cloud-trends-and-knowledge
product-information
generative-ai
security-marketing-priority
ai-ml
Show 5 more

Up Next

VideoThumbnail
47:39

Simplifying Application Authorization: Amazon Verified Permissions at AWS re:Invent 2023

Nov 22, 2024
VideoThumbnail
15:58

Revolutionizing Business Intelligence: Generative AI Features in Amazon QuickSight

Nov 22, 2024
VideoThumbnail
2:53:33

Streamlining Patch Management: AWS Systems Manager's Comprehensive Solution for Multi-Account and Multi-Region Patching Operations

Nov 22, 2024
VideoThumbnail
1:01:07

Accelerate ML Model Delivery: Implementing End-to-End MLOps Solutions with Amazon SageMaker

Nov 22, 2024
VideoThumbnail
6:45

Grindr's Next-Gen Chat System: Leveraging AWS for Massive Scale and Security

Nov 22, 2024