aiqbench analysis
AWS Continuum addresses the noise problem in software security by using AI agents to validate exploitability and automatically generate fixes as pull requests. This shifts the focus from static severity ranking to dynamic proof-of-concept generation within a sandboxed environment, directly tackling the volume of false positives that overwhelm traditional scanners. The service integrates deep context graphs with AWS infrastructure to assess blast radius before delivering remediation code.
AWS Ships Continuum for Code Vulnerabilities
AWS has made Continuum for code vulnerabilities generally available in two regions. The service proves exploitability by running real exploits in a sandbox, then opens fixes as pull requests. Published pricing charges per finding processed as well as per line of code, and practitioners are asking what would justify letting it merge fixes on its own. By Steef-Jan Wiggers
AWS recently made Continuum for code vulnerabilities generally available in US East (N. Virginia) and US West (Oregon), four months after announcing it in gated preview. The pricing page, which the announcement does not mention, shows a model that charges by the finding as well as by the codebase. Principal solutions architect Esra Kayabali describes a service that finds and validates code vulnerabilities, then delivers fixes as patches that can be automated or as pull requests in the connected repositories. It builds…
Excerpt shown under the publisher's RSS terms · 82 words · full text and figures are on the publisher's site
Related coverage
Introducing GLM 5.3 on Amazon Bedrock
AWS · Oct 5, 2026
Estimating Model-Level Membership Inference Vulnerability Without Reference Models
arXiv · Oct 8, 2026
{\alpha}-Fair Insurance Pricing: A Fairness Continuum
arXiv · Jun 16, 2026
BRICS Draws a New Global Line: Full Text of New Delhi Declaration
slguardian.org · Sep 12, 2026