AWS Unveils AI-Powered DevOps Tools at New York Summit
Amazon Web Services (AWS) has introduced new AI-powered DevOps tools, including Continuum for identifying and fixing application vulnerabilities, and a mobile app for its Kiro coding tool. The tools aim to provide continuous security and code review, with AWS citing decreasing costs despite rising token prices. The company sees AI tools operating continuously in the background, rather than on demand.
Key points
- AWS has released Continuum, a set of agents providing continuous security using artificial intelligence, building on penetration testing and code review.
- Continuum includes two products: Continuum for code vulnerabilities and Continuum pen testing/code scanning, which will replace the existing AWS Security Agent.
- The AWS DevOps agent, first previewed in 2025, is an AI tool that can resolve and prevent application vulnerabilities.
- AWS claims the cost of using AI tools is decreasing year by year, despite rising token prices.
- AWS Continuum is currently in closed preview, with no official pricing announced.
AWS has unveiled a suite of new AI-powered DevOps tools at its New York Summit, aimed at improving code security and DevOps efficiency. The company's Continuum platform uses artificial intelligence to provide continuous security and code review, building on penetration testing and code review.
According to AWS, Continuum includes two products: Continuum for code vulnerabilities, which performs vulnerability scans of an AWS environment and generates suggested fixes, and Continuum pen testing/code scanning, which will replace the existing AWS Security Agent.
The AWS DevOps agent, first previewed at the company's re:Invent conference in late 2025, is an AI tool that can resolve and prevent application vulnerabilities. AWS claims that the cost of using AI tools is decreasing year by year, despite rising token prices.
AWS Continuum is currently in closed preview, with no official pricing announced. The company sees AI tools operating continuously in the background, rather than on demand, and believes this approach will improve DevOps efficiency and code security.
Sources
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