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Alex Oskotsky, Bill Donelly & Johnathan Constance - The impact of AI on DevSecOps organizations
Discover how AI transforms DevSecOps, reducing risk and improving efficiency through automation, predictive scaling, and enhanced incident response with AI-powered exercises.
- The impact of AI on DevSecOps organizations is significant, with AI helping to reduce the risk of security incidents and improving efficiency.
- AI can be used to automate tasks, allowing human engineers to focus on higher-level tasks.
- The company has been using AI to predict and scale database usage, allowing them to avoid throttling errors and reduce costs.
- The data used for predictive AI needs to be structured and formatted correctly, and there is a need for caution when giving data to language models.
- The company’s predictive AI model is used to control the minimum level of provisioned capacity for DynamoDB tables, allowing for more efficient use of resources.
- AI can be used to improve incident response by providing better predictions and analysis, as well as automating tasks and reducing the need for human intervention.
- The company has also used AI-powered table-top exercises to train engineers for incident response and security testing.
- The benefits of AI in DevSecOps include increased efficiency, reduced costs, and improved security.